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At CVS Health, we’re building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.As the nation’s leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues – caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.Position Summary We are looking for a Principal Data Scientist to join our Government Consumer Analytics team at CVS Health. This high-level individual contributor will partner closely with the AVP of Government Consumer Analytics to drive hands on technical excellence across the most complex projects across the portfolio, lead a culture of technical rigor and excellence, and define key standards across an organization of ~80 data scientists and engineers.Description / Fundamental Components:Hands-On Data Science Excellence for Highly Complex Projects (60%)<ul> <li>Anticipates and solves strategic and high-risk business problems with broad impact on the business area by applying leading-edge theories and techniques to investigate problems, detect patterns and recommend solutions</li> <li>Leads development and execution of new and/or highly complex algorithms and statistical predictive models and determines analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes</li> <li>Establishes analytical rigor and statistical methods to analyze large amounts of data, using advanced statistical techniques and mathematical analyses</li> <li>Evaluate advanced industry-leading approaches and determine which to incorporate into CVSH technical approach</li> <li>Work across 2-3 highly complex projects at a time (50/30/20), with a combination of hands-on, problem solving, and coaching</li> </ul>Technical Development &amp; Mentorship (25%)<ul> <li>Hold team-wide office hours regarding technical challenges and problem solving</li> <li>1:1 technical coaching with 10-20 individual contributor teammates</li> </ul>Define Data Science Standards &amp; Best Practices (15%)<ul> <li>Identify opportunities to implement improved best practices</li> <li>Provides guidance to develop enterprise-wide analytics strategy and roadmap</li> </ul>Required Qualifications<ul> <li>10+ years of progressively complex related analytics experience</li> <li>8+ years' experience leading analytics project from concept to delivery, coordinating across a diverse group of stakeholders, anticipating and preventing roadblock and driving business impact</li> <li>8+ years' experience with advanced analytics tools and languages, analyzing large data sets from multiple data sources</li> <li>8+ years' experience solving analytics problems using advanced statistics, machine learning, mathematical algorithms and predictive modeling</li> <li> 8+ years' experience with: Python, SQL, Cloud applications (GCP, AWS, Azure), machine learning, casual inference and experimental design </li> <li>5+ years' industry experience demonstrating strong written and verbal communication skills, including the ability to present complex ideas to various audiences</li> </ul>Preferred Qualifications<ul> <li>Excellent analytical and problem-solving skills</li> <li>Strong organizational, management and leadership skills</li> <li>Knowledge of the health care industry, products, systems, business strategies and products</li> </ul>Education<ul> <li>Bachelor’s degree in Mathematics, Statistics, Computer Science, Economics, Physics, Operations Research, Engineering, or related discipline</li> <li>Master's degree or PhD preferred</li> </ul>Pay RangeThe typical pay range for this role is:$144,200.00 - $288,400.00 This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company’s equity award program. Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.Great benefits for great peopleWe take pride in our comprehensive and competitive mix of pay and benefits – investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:<ul> <li>Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.</li> <li>No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.</li> <li>Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.</li> </ul>For more information, visit <a href="https://jobs.cvshealth.com/us/en/benefits" target="_blank">https://jobs.cvshealth.com/us/en/benefits</a>We anticipate the application window for this opening will close on: 06/21/2025Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

CVSHealth

Principal Data Scientist - Government Consumer Analytics

Outlier

Chemistry Expertise Sought for AI Training

Ready to be pushed beyond what you think you’re capable of? At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system. To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company’s hardest problems. Our <a href="https://www.coinbase.com/mission" target="_blank">work culture</a> is intense and isn’t for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there’s no better place to be. The CX Analytics Engineering team bridges the gap between data engineering, data science, and business analytics by building scalable, impactful data solutions. We transform raw data into actionable insights through robust pipelines, well-designed data models, and tools that empower stakeholders across the organization to make data-driven decisions. As an AnalyticsEngineer on our team, you will function as a force multiplier, enabling Analytics and Operations to function seamlessly at scale. You’ll have the opportunity to translate complex technical and operational requirements into easily consumable front end data solutions, while also heavily influencing the overarching strategy for CX Analytics and its partners. Our team combines technical expertise with a deep understanding of the business to unlock the full potential of our data. We prioritize data quality, reliability, and usability, ensuring stakeholders can rely on our data to drive meaningful outcomes. <h4>What We Do</h4> <ul> <li> Trusted Data Sources: Develop and maintain foundational data models that serve as the single source of truth for analytics across the organization.</li> <li> Actionable Insights: Empower stakeholders by translating business requirements into scalable data models, dashboards, and tools.</li> <li> Cross-Functional Collaboration: Partner with engineering, data science, product, and business teams to ensure alignment on priorities and data solutions.</li> <li> Scalable Data Products: Build frameworks, tools, and workflows that maximize efficiency for data users, while maintaining high standards of data quality and performance.</li> <li> Outcome-Focused Solutions: Use modern development and analytics tools to deliver value quickly, while ensuring long-term maintainability.</li> </ul> What you’ll be doing (ie. job duties): Analytics engineer is a hybrid Data Engineer/Data Scientist/Business Analyst role that has the expertise to understand data flows end to end, and the engineering toolkit to extract the most value out of it indirectly (building tables) or directly (solving problems, delivering insights). Expectations: <ul> <li> Be the expert: Quickly build subject matter expertise in a specific business area and data domain. Understand the data flows from creation, ingestion, transformation, and delivery.</li> <ul> <li>Examples:</li> </ul> </ul> Step into a new line of business and work with Engineering and Product partners to deliver first data pipelines and insights.Communicate with engineering teams to fix data gaps for downstream data users.Take initiative and accountability for fixing issues anywhere in the stack. <ul> <li> Generate business value: Interface with stakeholders on data and product teams to deliver the most commercial value from data (directly or indirectly).</li> <ul> <li>Examples:</li> </ul> </ul> Build out a new data model allowing multiple downstream DS teams to more easily unlock business value through experimentation and ad hoc analysis.Combine Eng details of the algo engine with stats and data expertise to come up with feasible solutions for Eng to make the algo better.Work with PMs to tie together new x-PG, and x-Product data into one holistic framework to optimize key financing product business metrics. <ul> <li> Focus on outcomes not tools: Use a variety of frameworks and paradigms to identify the best-fit tools to deliver value.</li> <ul> <li>Examples: </li> </ul> </ul> Develop new abstractions (e.g. UDFs, Python packages, dashboards) to support scalable data workflows/infra.Stand up a framework for building data apps internally, enabling other DS teams to quickly add value.Use established tools with mastery (e.g. Google Sheets, SQL) to quickly deliver impact when speed is top priority. What we look for in you (ie. job requirements): In addition to out of the box thinking, attention to detail, a sense of urgency and a high degree of autonomy and accountability, we expect you to have the following skills: <ul> <li> Data Modeling Expertise: Strong understanding of best practices for designing modular and reusable data models (e.g., star schemas, snowflake schemas).</li> <li> Prompt Design and Engineering: Expertise in prompt engineering and design for LLMs (e.g., GPT), including creating, refining, and optimizing prompts to improve response accuracy, relevance, and performance for internal tools and use cases.</li> <li> Advanced SQL: Proficiency in advanced SQL techniques for data transformation, querying, and optimization.</li> <li> Collaboration and Communication: Strong ability to translate technical concepts into business value for cross-functional stakeholders. Proven ability to manage projects and communicate effectively across teams.</li> <li> Data Pipeline Development: Experience building, maintaining, and optimizing ETL/ELT pipelines, using modern tools like dbt, Airflow, or similar.</li> <li> Development Tools: Familiarity with version control (GitHub), CI/CD, and modern development workflows.</li> <li> Data Architecture: Knowledge of modern data lake/warehouse architectures (e.g., Snowflake, Databricks) and transformation frameworks.</li> <li> Business Acumen: Ability to understand and address business challenges through analytics engineering.</li> </ul> Nice to haves: <ul> <li> Intermediate to Advanced Python: Expertise in scripting and automation, with experience in Object-Oriented Programming (OOP) and building scalable frameworks.</li> <li> Data Visualization: Proficiency in building polished dashboards using tools like Looker, Tableau, Superset, or Python visualization libraries (Matplotlib, Plotly).</li> <li> Experience with cloud platforms (e.g., AWS, GCP).</li> <li> Data savvy: Familiarity with statistics and probability.</li> </ul> Disclaimer: Applying for a specific role does not guarantee consideration for that exact position. Leveling and team matching are assessed throughout the interview process. ID: G2754 Pay Transparency Notice: Depending on your work location, the target annual salary for this position can range as detailed below. Full time offers from Coinbase also include target bonus + benefits (including medical, dental, vision and 401(k)). Pay Range: $122,000—$147,000 USD Please be advised that each candidate may submit a maximum of four applications within any 30-day period. We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying. <h3>Commitment to Equal Opportunity</h3> Coinbase is committed to diversity in its workforce and is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the Know Your Rights notice <a href="https://www.eeoc.gov/sites/default/files/2022-10/22-088_EEOC_KnowYourRights_10_20.pdf" target="_blank">here</a>. Additionally, Coinbase participates in the <a href="https://static-assets.coinbase.com/e-verify.pdf" target="_blank">E-Verify program</a> in certain locations, as required by law. Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations[at]coinbase.com to let us know the nature of your request and your contact information. For quick access to screen reading technology compatible with this site <a href="https://chrome.google.com/webstore/detail/chromevox/kgejglhpjiefppelpmljglcjbhoiplfn" target="_blank">click here to download</a> a free compatible screen reader <a href="http://www.chromevox.com/tutorial/" target="_blank">(free step by step tutorial can be found here)</a>. <h3>Global Data Privacy Notice for Job Candidates and Applicants</h3> Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available <a href="https://www.coinbase.com/legal/applicant_privacy_notice" target="_blank">here</a>. By submitting your application, you are agreeing to our use and processing of your data as required. For US applicants only, by submitting your application you are agreeing to arbitration of disputes as outlined <a href="https://www.coinbase.com/legal/application-arbitration-agreement" target="_blank">here.</a>

Coinbase

Analytics Engineer

Job Description: About Us At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities, and shareholders every day. One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We’re devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being. Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization. Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us! Global Business Services Global Business Services delivers Technology and Operations capabilities to Lines of Business and Staff Support Functions of Bank of America through a centrally managed, globally integrated delivery model and globally resilient operations. Global Business Services is recognized for flawless execution, sound risk management, operational resiliency, operational excellence, and innovation. In India, we are present in five locations and operate as BA Continuum India Private Limited (BACI), a non-banking subsidiary of Bank of America Corporation and the operating company for India operations of Global Business Services. Process Overview* Wholesale Risk Analytics (WRA) provides decision support services to enable our banking and markets, wealth management, capital management and credit risk business partners to manage risk well. To accomplish this, we build, develop and maintain models for risk and loss measurement. Additionally, we produce and administer forecasts supporting allowance and stress-testing both domestically (US) and internationally. Our teams complement each other and benefit from broad and diverse employment and experience within industries including government, academia, finance, law, consulting and the military. Through developing our people, embracing operational excellence to drive process improvements, and investing in strategic data initiatives, we provide enhanced risk management capabilities, insights and analysis to our business partners. Job Description* Wholesale Risk Analytics (WRA) is seeking an eager candidate ready to delve into the world of transformative model implementation and technology infrastructure. The hired candidate will have the opportunity to explore software development and data infrastructure on the strategic GRA Core platform (GCP). The hired candidate will have the opportunity to collaborate with GRA and Technology teams, leverage software engineering and model development skills, and gain expertise on how meet business and regulatory requirements in a fast-paced environment. This role requires a strong technical acumen, encompassing data analysis, computer programming, organization, good verbal and written communication, and software design capabilities. You will be at the forefront of Python and PySpark software development, and interface with Hadoop, HIVE and Exadata for model data input and output integration. Responsibilities* The role involves adhering to software standards and controls established by the model development team for model implementation, along with developing model execution code and operational functionalities that support models in production, including GRA Core Platform (GCP) workflows. In addition, the role will entail Python implementation of new and existing models, analytic processes, or system approaches. This role will also be instrumental in constructing a strategic model infrastructure using Python and PySpark, preparing code documentation, and collaborating with technology teams to deploy code in production. The role requires strong quantitative and computer programming skills (specifically in Python), and the capability of understanding and contributing to software design and GRA code control standards. Requirements* Education* <ul><li>BE / MCA</li></ul> Certifications If Any: NA Experience Range* <ul><li>7 to 9 Years</li></ul> Foundational Skills* <ul> <li>3 years of hands-on experience Python and PySpark programming</li> <li>2 years of programming experience with databases such as Oracle, Hadoop, and/or HIVE</li> <li>2 years of JIRA and Git experience for software development</li> <li>Proficiency in writing functional specifications for software implementation</li> <li>Exceptional analytical and problem-solving skills</li> <li>Basic Software engineering and design skills with a commitment to bust software development practices</li> <li>A strategic thinker with aptitude to leverage technical skills to solve business problems</li> <li>Experience in designing, developing, and implementing scalable infrastructure solutions</li> </ul> Desired Skills* <ul><li>Capable of documenting processes, inputs, outputs, and requirements, along with identify gaps and improve workflow.</li></ul> Work Timings* <ul><li>11:30 AM - 8:30 PM</li></ul> Job Location* <ul><li>Hyderabad</li></ul>

Bank of America

Data Scientist I A - GBS IND

Remote Coding Expertise for AI Training (Norwegian)

Coding Expertise for AI Training (Indonesian)

At Webflow, our mission is to bring development superpowers to everyone. As the pioneer of the Website Experience Platform (WXP), we’re redefining how teams Build, Manage, and Optimize for the web — combining visual development, powerful content management systems, AI-driven personalization, seamless hosting, and end-to-end analytics in a single, unified platform. With AI at the core, Webflow helps teams move faster, create more performant digital experiences, and scale without heavy engineering support. From independent designers and creative agencies to global enterprises, hundreds of thousands of organizations use Webflow to turn ideas into reality — and to power what’s possible on the web. We’re adding a Staff Data Scientist to our team to help inform the future of Webflow with data by building a deep understanding of how our customers create for the web with our product. You’ll partner directly with key product stakeholders to identify interesting business questions and provide the data and quantitative analysis to answer them, leading the development of KPIs and helping teams understand how to improve our user experience. <h1>About the role:</h1> <ul> <li>Location: Remote-first (United States; BC &amp; ON, Canada)</li> <li>Full-time </li> <li>Permanent </li> <li>Exempt</li> <li>Our cash compensation amount for this role ranges depending on the cost of labor of the geographic area. The ranges shared below may change if you are hired in another geographic location. <ul> <li>United States (all figures cited below in USD and pertain to workers in the United States) <ul> <li>Zone A: [$175,000 - $247,000</li> <li>Zone B: [$164,000 - $232,000]</li> <li>Zone C: [$154,000 - $217,000]</li> </ul> </li> <li>Canada (All figures cited below in CAD and pertain to workers in ON &amp; BC, Canada) <ul> <li>[$199,000 - $281,000]</li> </ul> </li> </ul> </li> </ul> This role is also eligible to participate in Webflow's company-wide bonus program. Target amounts are a percentage of base salary and vary by career level. Payouts are based on company performance against established financial and operational goals. Please visit our <a href="https://webflow.com/careers#pay-zones" target="_blank">Careers page</a> for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter. <ul> <li>Reporting to the VP of Data &amp; Insights</li> </ul> As a Staff Data Scientist, you’ll: <ul> <li>Lead high-impact projects to drive insights and decision-making across Webflow’s most critical initiatives.</li> <li>Define and evolve product and business metrics in collaboration with cross-functional teams to measure user experience and product performance</li> <li>Advance our experimentation capabilities, guiding design, statistical analysis, and interpretation of A/B tests, and championing a rigorous, iterative approach to product development.</li> <li>Uncover growth opportunities through exploratory data analyses, customer segmentation, and predictive modeling that surface actionable insights across the customer journey.</li> <li>Lead technical and non-technical team members with processes and technical expertise for executing experiments, answering open ended business questions with data, and researching levers for improving our product</li> <li>Partner with stakeholders in Product, Engineering, Design, Marketing, and User Research to blend qualitative and quantitative insights, informing product direction and enhancing user experience.</li> <li>Develop our data foundation collaborating on our strategic roadmap for building new pipelines and tools that contribute to our connected, complete understanding of our customer journey and improve our customer experience.</li> </ul> In addition to the responsibilities outlined above, at Webflow we will support you in identifying where your interests and development opportunities lie and we'll help you incorporate them into your role. <h1>About you:</h1> You’ll thrive as a Staff Data Scientist if you: <ul> <li> Have 5+ years of experience in a Data Science (or similar) position </li> <li> Have interest and experience in mentoring and developing the technical skills of your team members, helping to build a collaborative data science practice</li> <li> Have demonstrated experience working as a Data Scientist (or the equivalent in quantitative analysis), contributing to the strategic roadmap, providing high quality, reproducible analysis that impacts company strategy and decision making, building tools to enable scalable processes and enabling others to do the same</li> <li> Have expertise in applied statistics (e.g. predictive modeling, hypothesis testing, regressions), segmentation and experimentation (e.g. A/B testing) in an industry setting and the ability to explain concepts to technical and non-technical team members</li> <li> Have proficiency in SQL, and experience with a programming language like Python or R</li> <li> Curious about diving into the nuances of our business and product data </li> <li> Thrive collaborating with product teams in a fast-paced and sometimes ambiguous environment, solving complex and nuanced problems</li> <li> Engage both technical and nontechnical audiences with clear and compelling communication</li> <li> Stay curious and open to growth — actively building fluency in emerging technologies like AI to unlock creativity, accelerate progress, and amplify impact.</li> </ul> <h3>Our Core Behaviors:</h3> <ul> <li> Obsess over customer experience. We deeply understand what we’re building and who we’re building for and serving. We define the leading edge of what’s possible in our industry and deliver the future for our customers</li> <li> Move with heartfelt urgency. We have a healthy relationship with impatience, channeling it thoughtfully to show up better and faster for our customers and for each other. Time is the most limited thing we have, and we make the most of every moment</li> <li> Say the hard thing with care. Our best work often comes from intelligent debate, critique, and even difficult conversations. We speak our minds and don’t sugarcoat things — and we do so with respect, maturity, and care</li> <li> Make your mark. We seek out new and unique ways to create meaningful impact, and we champion the same from our colleagues. We work as a team to get the job done, and we go out of our way to celebrate and reward those going above and beyond for our customers and our teammates</li> </ul> <h3>Benefits &amp; wellness</h3> <ul> <li>Equity ownership (RSUs) in a growing, privately-owned company</li> <li>100% employer-paid healthcare, vision, and dental insurance coverage for full-time employees (working 30+ hours per week) and their dependents. Full-time employees may also be eligible for voluntary insurance options where applicable in the respective country of employment</li> <li>12 weeks of paid parental leave for both birthing and non-birthing caregivers, as well as an additional 6-8 weeks of pregnancy disability leave for birthing parents to be used before child bonding leave (note: where local requirements are more generous, employees receive the greater benefit); full-time employees also have access to family planning care and reimbursement</li> <li>Flexible PTO for all locations and sabbatical program</li> <li>Access to mental wellness and professional coaching, therapy, and Employee Assistance Program</li> <li>Monthly stipends to support work and wellness</li> <li>401k plan or pension schemes (in countries where statutorily required), and other financial wellness benefits, like CPA and financial advisor coverage</li> </ul> Temporary employees may be eligible for paid holiday and time off, statutory leaves of absence, and company-sponsored medical benefits depending on their Fixed Term Contract and their country/state of employment. <h3>Remote, together</h3> At Webflow, equality is a core tenet of our culture. We are an Equal Opportunity (EEO)/Veterans/Disabled Employer and are <a href="https://webflow.com/diversity-equity-inclusion" target="_blank">committed</a> to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law. Pursuant to the San Francisco Fair Chance Ordinance, Webflow will consider for employment qualified applicants with arrest and conviction records. <h3>Stay connected</h3> Not ready to apply, but want to be part of the Webflow community? Consider following our story on our <a href="https://webflow.com/blog" target="_blank">Webflow Blog</a>, <a href="https://www.linkedin.com/company/webflow-inc-/" target="_blank">LinkedIn</a>, <a href="https://twitter.com/webflow" target="_blank">X (Twitter)</a>, and/or <a href="https://www.glassdoor.com/Reviews/Webflow-Reviews-E890506.htm" target="_blank">Glassdoor</a>. <h3>Please note:</h3> We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Upon interview scheduling, instructions for confidential accommodation requests will be administered. To join Webflow, you'll need a valid right to work authorization depending on the country of employment. If you are extended an offer, that offer may be contingent upon your successful completion of a background check, which will be conducted in accordance with applicable laws. We may obtain one or more background screening reports about you, solely for employment purposes. For information about how Webflow processes your personal information, please review <a href="https://webflow.com/legal/applicant-privacy-notice" target="_blank">Webflow’s Applicant Privacy Notice</a>.

Webflow

Staff Data Scientist

Job Description: Job Title: CFO Data Management - Controls Analyst Corporate Title: Vice President Location: Chester Company Overview: At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day. Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being a diverse and inclusive workplace, attracting and developing exceptional talent, supporting our teammates’ physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us! Location Overview: Find us in the city of Chester, a destination renowned for its culture, history, and beauty. Working at Bank of America Chester offers a far-reaching global career for a world-renowned organisation, whilst being ideally situated against the backdrop of the rolling North Wales hills and the banks of the serene River Dee. The Team: CFO Data Management (CFO DM) is responsible for ensuring data is timely, accurate and complete with respect to Bank of America’s Treasury Function’s needs and use cases. This role forms part of the Treasury Data Management Controls Team. The CFO DM Controls Team is a horizontal function with three key areas of focus: execution of daily and monthly data quality controls, manual adjustments to address data issues and month end reconciliations to ensure complete and accurate data to downstream data consumers accountable for the adherence to regulatory mandates. The role will have responsibility for the month end reconciliations for GRIFFIN including expanding coverage to include Merrill Lynch International, presenting month end results to stakeholders in GRR and GFC, driving root cause analysis for breaks and remediation of these. Role Description: The role will have responsibility for the month end reconciliations between GRIFFIN (EMEA Regulatory reporting platform) and the general ledger. The reconciliation will cover the following entities/branches: BofASE, BofAE DAC, BANA London and MLI. Responsibilities: <ul> <li>Expanding legal entity coverage to include a month end reconciliation for Merrill Lynch International</li> <li>Supervising the reconciliation team who are based in India</li> <li>Presenting month end reconciliation results to stakeholders including EMEA GRR, legal entity CFOs, and other key stakeholders</li> <li>Driving root cause analysis for month end breaks collaborating with CFO DM Product SMEs, GBAM Finance and business partners on data needs, upstream data sourcing, and remediation</li> <li>Coordination of escalation to address exceptions, threshold breaches and data quality/data gap remediation.</li> <li>Work with CFO DM GRIFFIN controls team to improve/remediate manual adjustments for data gaps identified by the reconciliation process</li> <li>Engage and build relationships with business and technical stakeholders at varied levels to align on key objectives and provide data control oversight and proactively escalate and mitigate risk. Ensure adherence to applicable policies.</li> <li>Operational Excellence – enhance CFO DM processes through identification and analysis of processes and own the delivery of solution(s).</li> <li>Develop a strong knowledge of CFO DM Controls processes and how they link to stakeholder (GRR) daily/monthly reporting.</li> <li>Ensure processes, procedures and routines are well documented and followed consistently.</li> <li>Support Audit and Regulatory requests.</li> </ul> What we are looking for: <ul> <li>Excellent problem solving and analytical skills</li> <li>Attention to detail and an ability to “connect the dots”</li> <li>Advanced Microsoft Office</li> <li>Capacity to handle multiple tasks and work in a flexible environment</li> <li>Ability to think and act independently, detailed oriented and organized;</li> <li>Excellent verbal and written communication skills and the ability to build relationships across a matrixed organization.</li> <li>Time management and ability to meet SLAs and deadlines</li> </ul> Skills that will help: • Knowledge and prior experience with Regulatory Reporting • SQL experience querying large sets of data • Basic knowledge of Tableau and/or Alteryx • Product knowledge and experience of end to end trade bookings • Data Management experience Benefits of working at Bank of America: UK <ul> <li>Private healthcare for you and your family plus an annual health screen to help you manage your physical wellness with the option to purchase a screen for your partner</li> <li>Competitive pension plan, life assurance and group income protection cover if you become unable to work as a result of a disability or health reasons</li> <li>20 days of back-up childcare including access to school holiday clubs and 20 days of back-up adult care per annum</li> <li>The ability to change your core benefits as well as the option of selecting a variety of flexible benefits to suit your personal circumstances including access to a wellbeing account, travel insurance, critical illness etc.</li> <li>Access to an emotional wellbeing helpline, mental health first aiders and virtual GP services.</li> <li>Access to an Employee Assistance Program for confidential support and help for everyday matters</li> <li>Ability to donate to charities of your choice directly through payroll and the bank will match your contribution</li> <li>Opportunity to access our Arts &amp; Culture corporate membership program and receive discounted entry to some of the UK’s most iconic cultural institutions and exhibitions.</li> <li>Opportunity to give back to your community, develop new skills and work with new groups of people by volunteering in your local community.</li> </ul> Bank of America: Good conduct and sound judgment is crucial to our long term success. It’s important that all employees in the organisation understand the expected standards of conduct and how we manage conduct risk. Individual accountability and an ownership mind-set are the cornerstones of our Code of Conduct and are at the heart of managing risk well. We are an equal opportunities employer and ensure that no applicant is subject to less favourable treatment on the grounds of sex, gender identity or gender reassignment, marital or civil partner status, race, religion or belief, colour, nationality, ethnic or national origins, age, sexual orientation, pregnancy or maternity, socio-economic background, responsibility for dependants or physical or mental disability. The Bank selects candidates for interview based on their skills, qualifications and experience. We strive to ensure that our recruitment processes are accessible for all candidates and encourage any candidates to tell us about any adjustment requirements.

Senior Data Analyst

AI Training for Sociology

Job Description: At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day. Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates’ physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve. Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us! Job Summary: Client Protection is looking for an experienced analytical leader to join the digital commerce fraud strategy team. This is an exciting opportunity given the constantly evolving nature of digital adoption and attacks in marketplace as well as in money movement. The incumbent will be responsible for managing a team focused on fraud and scam prevention strategies for key digital money movement channels. Responsibilities will include, working across multiple lines of business; partnering with product, technology, operations, vendors, and others; responsibility for the overall first party fraud loss line; and evaluating various internally developed and vendor provided machine learning tools to maximize client experience while managing fraud most effectively. As a Fraud Strategy Manager with the Client Protection organization, you will capitalize on technical abilities and strategic thinking to solve business challenges and seek opportunities for improvement. You will join a team of fraud professionals who are dedicated to stopping criminals and protecting customers. In the role you will spend time analyzing difficult problems as we try to stay one step ahead of the fraudsters. You will develop complex defenses designed to minimize the impact to good customers while maximizing fraud loss avoidance. You will work across multiple partner organizations and represent our team as a subject matter expert. We are looking for someone with strong communication skills, sound business judgement, results oriented with a track record of thriving in a fast-paced entrepreneurial environment. The role will be responsible for several key areas: • Develop and implement robust third-party fraud and scam detection program rooted in digital space to safeguard the organization against financial fraud. • Provide recommendations on mitigation efforts, ensuring monitors are in place, and will self-create initiatives as needed. • Lead a team of fraud analysts in the identification, investigation, and mitigation of fraud activity. • Collaborate with cross-functional teams to integrate fraud detection measures into existing systems and processes. • Stay abreast of industry trends, emerging threats, and technological advancements to continuously enhance fraud prevention methodologies. • Analyze data and conduct investigations to identify patterns, trends, and anomalies indicative of potential fraud. • Identifying new sources of data (internal or vendor-provided) that can enrich our existing detection processes, be added to our decision systems, and allow for new detection strategies to be developed. Will require close coordination with partners in Fraud Technology. • Drive the development of new models designed to detect fraud activity. • Ensuring proper risk controls are deployed, while adhering to best practices. • Provide oversight on defect reviews of 3rd party/scam loss cases to identify any gaps in Fraud strategy and/or procedural adjustments. • Providing fraud requirements, testing, and development of strategies for new project and endeavors • Lead the team to Develop, implement, and continuously improve fraud detection algorithms and systems. Perform regular audits and analysis of transaction data to detect new fraud trends. • Guiding team to Develop new fraud strategies using statistical and analytical techniques. Goal will be to identify and mitigate new and emerging fraud threats. • Design and monitor key fraud metrics and KPIs to evaluate the effectiveness of fraud prevention. • Monitor Strategy performance and Optimization of existing detection strategies to determine areas where rules can be adjusted to decline fewer false positives and improve the ROI and overall performance of our fraud strategies. • Systems Integration: Integrate fraud detection systems with core banking and transaction processing systems using APIs and middleware solutions. Collaborate with IT and software development teams to ensure seamless integration and functionality of fraud management systems. Manage and optimize the performance of fraud detection systems and tools. • Policy and Strategy Development: Stay updated with the latest fraud trends, regulatory requirements, and best practices. Lead the creation and refinement of fraud detection and prevention strategies. • Work closely with compliance, legal, risk management, and other relevant departments to align fraud management efforts with organizational goals. Conduct training sessions and workshops to educate staff on fraud detection techniques and policies. • Identify process improvements and efficiencies via data analysis. • Deliver accurate metrics related to fraud and claim activity. Validate the integrity and quality of data required for performing analysis. • Partner with claims, policy, strategy, and product teams to deliver data insights and analysis that inform critical decisions and help achieve goals. Required Qualifications: • 3+ years of experience in advanced to expert level in SQL and SAS • Minimum 7 years of work experience in large financial institution with specialization in data analytics • Minimum 5 years of experience in managing teams. Desired Qualifications: • The candidate must be at an advanced to expert level in SAS and SQL. Should also have familiarity with other programming languages such as Python, R, or Java. Knowledge of data extraction tools such as Hive or Hue will be useful. • Experience in Statistical model utilization • 3+ years of decision tree development • Experience in managing fraud for digital products (Zelle, Wires, ACH, Bill pay) • Expertise in fraud detection and management platforms, specifically SAS Fraud Management and creation of user defined variables for rule development. • Ability to work in a fast-paced, dynamic environment is critical. • Must have exceptional organizational, project management and communications skill. • Candidate must have a proven track record of building and deploying analytical solutions that have resulted in material financial results. • Ability to work independently as well as effectively work in teams with individuals with a variety of skills and backgrounds. • Advanced analytical and quantitative skills with demonstrated ability in using data and metrics to identify root causes. • Basic understanding of 1st and 3rd party fraud (claims to charge-off timing, chargeback recovery rights, etc.) • Proven strong analytical and communication skills. • Experience in working with tools like SAS E-miner and use machine learning models to identify patterns and anomalies in transaction data indicative of fraudulent activity. • Bachelor’s degree, preferably in a quantitative discipline such as mathematics, statistics, operations research, engineering, computer science, finance, or business. Skills: <ul> <li>Analytical Thinking</li> <li>Business Analytics</li> <li>Data Mining</li> <li>Fraud Management</li> <li>Business Process Analysis</li> <li>Critical Thinking</li> <li>Influence</li> <li>Relationship Building</li> <li>Strategy Planning and Development</li> <li>Business Case Analysis</li> <li>Issue Management</li> <li>Leadership Development</li> <li>Process Performance Measurement</li> <li>Recruiting</li> </ul> Shift:1st shift (United States of America) Hours Per Week: 40

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