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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. While many roles at Coinbase are remote-first, we are not remote-only. In-person participation is required throughout the year. Team and company-wide offsites are held multiple times annually to foster collaboration, connection, and alignment. Attendance is expected and fully supported. We are looking for a Site Reliability Engineer (SRE) to join the IT AI Infrastructure team to deploy, manage, and optimize AI-powered productivity tools and in-house AI solutions that enhance employee efficiency at scale. A successful candidate will have demonstrated success in similar roles within high-growth, security-conscious environments, bringing deep expertise in public cloud infrastructure (AWS/GCP), backend development (Python, Go, or Java), and automation tooling. The right person is passionate about building scalable and reliable AI infrastructure, driving automation, and collaborating across disciplines to integrate AI systems while maintaining strong security and compliance standards. What You’ll Be Doing: <ul> <li> Deployment and Management of AI Tools: Deploy, configure, and manage AI-powered employee productivity tools and in-house AI built solutions </li> <li> Reliability and Performance: Ensure high availability, reliability, and optimal performance of AI platforms and services. Implement monitoring, alerting, and incident response procedures.</li> <li> Scalability and Infrastructure: Design and implement scalable infrastructure to support the growing demands of AI tools and user base. Optimize resource utilization and manage capacity planning.</li> <li> Automation and Tooling: Develop and maintain automation scripts and tools to streamline deployment, monitoring, and maintenance tasks. Contribute to the experimental sandbox environments for testing new AI solutions.</li> <li> Collaboration and Support: Collaborate with cross-functional teams (Machine-Learning, HR, Security, Data Science, Developer Experience) to support the development and integration of AI solutions. Provide technical support and troubleshooting for AI-related issues.</li> <li> Security and Compliance: Adhere to security and privacy policies while deploying and managing AI tools. Ensure compliance with regulatory requirements.</li> <li> Monitoring and Metrics: Implement comprehensive monitoring and metrics to track the performance and health of AI systems. Analyze data to identify areas for improvement and optimization.</li> <li> Incident Response: Participate in incident response and troubleshooting for AI-related outages or performance issues. Develop and maintain incident response plans.</li> <li> Backend Development: Contribute to backend development tasks to support the integration and functionality of AI tools.</li> <li> Public Cloud Management: Deploy and manage AI solutions on public cloud platforms (AWS/GCP), leveraging cloud-native services and best practices.</li> <li> Written and Verbal Communication: Excellent communication skills and experience presenting technical information to non-technical audiences, including senior leadership.</li> </ul> What We Look For In You: <ul> <li>Proven experience as a Site Reliability Engineer (SRE) or similar role.</li> <li>Strong understanding of AI technologies and platforms.</li> <li>Experience with deploying and managing applications in a cloud environment (AWS/GCP).</li> <li>Solid backend development experience with programming languages such as Python, Java, or Go.</li> <li>Strong proficiency in managing and configuring public cloud services (AWS/GCP) for scalability and reliability.</li> <li>Experience with automation tools and scripting (e.g., Ansible, Terraform, Bash, Python).</li> <li>Excellent troubleshooting and problem-solving skills.</li> <li>Strong communication and collaboration skills.</li> <li>Strong security and compliance understanding.</li> <li>Experience working in a highly regulated environment</li> <li>Experience in a fast-paced, high-growth company</li> </ul> ID: P70539 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 + target equity + benefits (including medical, dental, vision and 401(k)). Pay Range: $186,065—$218,900 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

Senior Site Reliability Engineer, Core AI Infrastructure

Outlier

Research Expertise Sought for AI Training

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 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! Job Description: This job is responsible for reviewing and interpretating large datasets to uncover revenue generation opportunities and ensuring the development of effective risk management strategies. Key responsibilities include working with lines of business to comprehend problems, utilizing sophisticated analytics and deploying advanced techniques to devise solutions, and presenting recommendations based on findings. Job expectations include demonstrating leadership, resilience, accountability, a disciplined approach, and a commitment to fostering responsible growth for the enterprise. The Data and AI team within Global Payment Solutions (GPS) at Bank of America is looking for a Data Scientist that is a self-starter who can translate complex concepts and generate actionable insights. Who we are: Using cutting edge Generative AI and Machine Learning techniques, the GPS Data and AI team drives and powers innovation within one of the largest payment businesses in the world. We are the engine that fuels our business partners and clients across the organization globally, building revolutionary end-to-end production level solutions at scale. At our core, we are a team that is a collection of individuals who welcome challenging problems, because that is where the learning begins – and we are at the front line of the long-term transformation of how AI is applied at one of the largest banking institutions in the world. For many of our projects, we begin by hosting “think tank” sessions with business teams to brainstorm and pinpoint opportunities where we can create traceable value through data, AI and Generative AI. Once a problem is sculpted and the solution framework is developed, we get together as a team and build. What we’re building: The data science team (within GPS) is working on multiple projects that are driving/will drive significant impact across the GPS business. Some examples include: • A Generative AI powered search platform that enables sales and product teams to quickly find high quality answers to product, servicing, and client related questions that will ultimately unite all of our structured and unstructured data • A comprehensive machine learning model that helps to move foreign currency conversion “up the payment stream” • A revolutionary approach leveraging advanced statistical methods to identify the best interest-rate or product price to provide to clients • Applying advanced NLP techniques to generate near real-time insights into what clients are reaching out to servicing teams about, providing servicing teams with constant information on how they can better serve clients Who we’re looking for: If you are passionate about working in cross-functional teams and utilizing your skills for technical product management, statistical analytics, predictive modeling, and generating revenue, consider applying to this role. You will be responsible for a variety of challenging projects that require constant communication and collaboration with data engineers, data scientists and other internal teams. Utilizing extensive business and programming knowledge, you will help to tackle a variety of machine learning problems ranging from recommendation systems, stochastic optimization, and time series forecasting. You will also implement A/B testing and research emerging technologies, among other day-to-day duties. Responsibilities: <ul> <li>Work with stakeholders throughout the organization to identify opportunities for leveraging internal and external data to drive business solutions</li> <li>Impact how teams strategically collaborate to drive the company forward and help create the future of data science within GPS</li> <li>Responsible for the success and improvement of the applications that support development, research, and data science in GPS (the "products"), help set long-term vision and strategy for selective products, and collaborate with Data Scientists to meet the needs of the "users"</li> <li>Work closely with other Data Scientists to set technical strategy and prioritize development work</li> </ul> Required Qualifications: <ul> <li>Bachelor’s degree in a quantitative field such as: computer science, math, and physics</li> <li>Minimum of 3 to 5 years of hands-on data science experience working in a highly technical environment</li> <li>Extensive experience with Natural Language Processing techniques and Generative AI frameworks such as RAG, text embedding, finetuning, etc.</li> <li>Strong understanding of data structures and algorithms with substantial Python experience</li> <li>Understanding of how to frame a data science problem and a deep understanding of key machine learning algorithms (KMeans, boosting / bagging models, etc.)</li> <li>Critical thinking skills; able to take feedback and transform it into strategic action</li> <li>Strong verbal, communication, technical design, and documentation skills</li> </ul> Desired Qualifications: <ul> <li>Graduate level degree in a quantitative field such as, computer science, math, and physics or equivalent work experience</li> <li>Experience with data visualization tools, such as D3.js, GGplot, and Matplotlib</li> </ul> Skills: <ul> <li>Agile Practices</li> <li>Application Development</li> <li>DevOps Practices</li> <li>Technical Documentation</li> <li>Written Communications</li> <li>Artificial Intelligence/Machine Learning</li> <li>Business Analytics</li> <li>Data Visualization</li> <li>Presentation Skills</li> <li>Risk Management</li> <li>Adaptability</li> <li>Collaboration</li> <li>Consulting</li> <li>Networking</li> <li>Policies, Procedures, and Guidelines Management</li> </ul> Shift:1st shift (United States of America) Hours Per Week: 40

Bank of America

Data Scientist

Remote Coding Expertise for AI Training (Russian)

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. As we scale, we’re seeking a visionary Director of Applied AI to lead the development and integration of AI solutions that enhance our internal operations and customer experiences. This role is pivotal in shaping our AI strategy, ensuring that our technological advancements align with our business objectives. <h1>About the role:</h1> <ul> <li>Location: Remote-first (United States)</li> <li>Full-time</li> <li>Permanent</li> <li>Exempt</li> <li>The cash compensation for this role is tailored to align with the cost of labor in different geographic markets. We've structured the base pay ranges for this role into zones for our geographic markets, and the specific base pay within the range will be determined by the candidate’s geographic location, job-related experience, knowledge, qualifications, and skills.</li> <ul> <li>United States (all figures cited below are in USD and pertain to workers in the United States)</li> <ul> <li>Zone A: 234,000 – 344,300</li> <li>Zone B: 220,500 – 323,600</li> <li>Zone C: 206,100 – 302,900</li> </ul> </ul> </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 CIO</li> </ul> As the Director of Applied AI, you will spearhead the identification, development, and deployment of AI-driven solutions across Webflow. Your leadership will be instrumental in transforming our operations, driving efficiency, and fostering innovation. You will collaborate closely with cross-functional teams to integrate AI capabilities that support our growth and enhance our product offerings. <ul> <li> Strategic Leadership: Develop and execute a comprehensive AI strategy that aligns with Webflow’s business goals and technological roadmap.</li> <li> Team Building: Recruit, mentor, and lead a high-performing team of AI professionals, fostering a culture of innovation and continuous learning.</li> <li> Cross-Functional Collaboration: Work closely with Product, Engineering, Design, and Business teams to identify opportunities for AI integration and ensure seamless implementation.</li> <li> Innovation and Research: Stay abreast of the latest AI trends and technologies, evaluating their applicability to Webflow’s needs and driving innovation through research and experimentation.</li> <li> Operational Excellence: Implement best practices for AI development and deployment, ensuring scalability, reliability, and ethical considerations are at the forefront.</li> <li> Performance Monitoring: Establish metrics to assess the impact of AI initiatives, using data-driven insights to refine strategies and demonstrate.</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> Your qualifications and skills: <ul> <li>Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.</li> <li>Minimum of 8 years in AI/ML roles, with at least 3 years in a leadership position overseeing AI initiatives.</li> <li>Proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch), data analysis tools, and cloud platforms (e.g., AWS, GCP).</li> <li>Demonstrated ability to align AI strategies with business objectives and drive organizational change.</li> <li>Excellent verbal and written communication skills, with the ability to articulate complex concepts to diverse audiences.</li> <li>Strong understanding of AI ethics, data privacy, and compliance standards.</li> <li>Experience in SaaS or technology-driven companies, particularly in roles focused on internal tool development and optimization.</li> <li>Relevant certifications in AI/ML or project management (e.g., PMP, Scrum Master).</li> <li>Contributions to AI research through publications, patents, or conference presentations.</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

Director of Corporate Engineering, Applied AI

At ConsumerAffairs, we’re on a mission to help consumers make smarter buying decisions by collecting real stories from real people. As a Telephone Customer Feedback Specialist, you'll conduct phone interviews with customers of top-rated brands to capture their experiences—both good and bad. These reviews help other consumers navigate major life purchases.This is not a sales role. It’s a people-first position where listening, empathy, and clear communication are the most important skills. You’ll also use AI-powered tools to help streamline your workflow, so being curious and tech-comfortable is required.What You’ll Do:<ul> <li> Conduct professional, phone-based interviews with customers to collect detailed feedback </li> <li> Navigate conversations with empathy and tact—even when customers are frustrated or emotional </li> <li> Maintain high levels of accuracy and quality in every review </li> <li> Manage your daily call volume, reporting, and performance goals with independence </li> <li>We’re looking for AI Natives—people who are curious, tech-comfortable, and always thinking about how to work smarter.</li> </ul> What We’re Looking For:<ul> <li> 1+ year of experience in a customer support, call center, or phone-based role </li> <li> Strong verbal communication skills and the ability to build rapport quickly </li> <li> Resilience and emotional maturity—you're calm under pressure and take feedback well </li> <li> Detail-oriented, organized, and comfortable managing your own metrics </li> <li> Curious and tech-friendly—you’re open to learning and using AI tools </li> </ul> <ul> <li>Health Care Plan (Medical, Dental &amp; Vision)</li> <li>Retirement Plan (401k)</li> <li>Life Insurance (Basic, Voluntary &amp; AD&amp;D)</li> <li>Paid Time Off (Vacation, Sick &amp; Public Holidays)</li> <li>Family Leave (Maternity, Paternity)</li> <li>Short Term &amp; Long Term Disability</li> <li>Hybrid Schedule</li> <li>Free Food &amp; Snacks</li> </ul>

ConsumerAffairs

Telephone Customer Feedback Specialist, AI Native

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. 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! Detailed Job Description Bank of America’s Global Risk Management business is looking for a Quantitative Financial Analyst in the Market Behavior Analytics group within Global Risk Analytics. This group is responsible for developing surveillances and other sophisticated controls over activities in our Global Markets business. These controls detect potentially suspicious activities and patterns of behavior. Building these controls requires knowledge of big data techniques, ability to architect systems that can efficiently scale to hundreds of billions of data points per day, machine learning over unstructured and structured data, graph analytics, and experience with building UI for data rich applications. Key responsibilities include: <ul> <li>Understanding financial data: schemas, flow, size, data issues, data controls, etc. </li> <li>Building performant big data pipelines that are the backbone of building large scale surveillance systems.</li> <li>Building surveillance models using sophisticated modeling techniques including machine learning and AI.</li> <li>Testing the efficacy of surveillances using advanced modeling techniques.</li> </ul> Required Skills: <ul> <li>Successful candidates will have a Bachelor’s or Master’s degree in computer science or related disciplines.</li> <li>At least 2 years of relevant experience in software engineering in Quantitative Finance or other industries.</li> <li> Ability to analyze and find interesting patterns in data with at least one of the following:<ul> <li>Experience in implementing distributed algorithms on large amounts of data using Big Data, batch and streaming technologies like Hadoop, Spark, Flink, Kafka etc. </li> <li>Experience in building user facing applications over large amounts of data using technologies like React, Angular, JavaScript etc.</li> </ul> </li> <li>Experience with SQL and NoSQL databases such as MongoDB, HBase, Cassandra, Oracle etc. to process large scale data.</li> <li>Strong communication skills and ability to effectively communicate quantitative topics to technical and non-technical audiences.</li> <li>Ability to effectively present findings, data, and conclusions to senior leaders.</li> <li>Ability to operate independently with minimal supervision to deliver sub tasks as well as ability to participate in group settings.</li> </ul> Preferred skills: <ul> <li>Experience in machine learning / AI models</li> <li>Experience with large scale financial data sets</li> <li>Experience to code independently with minimal oversight in at least one programming language like Python or Java.</li> </ul> Minimum Education Requirement: Successful candidates will have a Bachelor’s or Master’s degree in computer science or related disciplines. Shift:1st shift (United States of America) Hours Per Week: 40

Quantitative Finance Analyst - Markets Behavior Analytics Group

Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest.We’re looking for an intelligent, driven professional to join our Quantitative Research team. Quantitative Research is a part of the broader Quantitative Markets team, which is responsible for structuring and pricing Affirm’s debt funding deals and researching and building data-driven models to analyze and predict the performance of Affirm’s consumer loans. In this role, you will be primarily focused on analytical tools development, working with engineers and data scientists around the company to improve the usability of the take-up and loan cashflow models. Over time, you would proactively engage with other stakeholders around Affirm to tailor models to the needs of Merchant Pricing, Credit, Applied Machine Learning, Finance, and other stakeholders.The ideal candidate will have strong analytical and problem solving skills with solid knowledge of analytical tools, as well as interpersonal skills to work cross-functionally and drive forward recommendations. This is an individual contributor position. <h3> What you’ll do</h3> <ul> <li> Architect, build, refine and increase automation and research infrastructure for modeling the performance of existing collateral and simulation frameworks for future loan originations </li> <li> Collaborate with platform (Machine Learning and Engineering) teams to implement framework for automating and presenting analytics, reports, and monitoring </li> <li> Collaborate with firm-wide analytics teams to deliver analyses and tools to users across the firm </li> <li> Review implementation of models focusing on requirement verification and code quality. Conduct code review for different members of the team. </li> </ul> <h3>What we look for</h3> <ul> <li> Undergraduate, Masters, or PhD in Computer Science or other quantitative discipline </li> <li> 3-7 years of professional experience developing quantitative infrastructure tools and platforms </li> <li> Solid background in math/statistics/finance and familiarity with quantitative research methodologies and machine learning algorithms </li> <li> Analyze unique business operational requirements and conduct research in order to design appropriate technical solutions to accommodate those functional needs </li> <li> Ability to contribute to the analytics, research, and model development process </li> <li> Curiosity to learn about data, models and algorithms and proven track record in analytical and problem solving skills </li> <li> Ability to develop strong relationships and work across all organizational levels </li> <li> Desire to understand the broader context of business decisions </li> <li> Github experience preferred. Existing github presence a plus </li> </ul> Pay Grade - Q Equity Grade - 14 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.) USA base pay range (CA, WA, NY, NJ, CT) per year: $180000 - $230000 USA base pay range (all other U.S. states) per year: $160000 - $210000 #LI-Remote Affirm is proud to be a remote-first company! The majority of our roles are remote and you can work almost anywhere within the country of employment. Affirmers in proximal roles have the flexibility to work remotely, but will occasionally be required to work out of their assigned Affirm office. A limited number of roles remain office-based due to the nature of their job responsibilities. We’re extremely proud to offer competitive benefits that are anchored to our core value of people come first. Some key highlights of our benefits package include: <ul> <li>Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents </li> <li>Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses</li> <li>Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge</li> <li>ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount</li> </ul> We believe It’s On Us to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process. [For U.S. positions that could be performed in Los Angeles or San Francisco] Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles Fair Chance Initiative for Hiring Ordinance, Affirm will consider for employment qualified applicants with arrest and conviction records. By clicking "Submit Application," you acknowledge that you have read Affirm's <a href="https://www.affirm.com/global-candidate-privacy-notice" target="_blank">Global Candidate Privacy Notice</a> and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of your personal information as described therein.

Affirm

Quantitative Analytics Lead

Bring Your Voice to AI Training - Chinese

<h1>Corporate Data - Health Data Analyst 133-2004</h1> Tulsa, OK, USA Req #835 Wednesday, May 28, 2025 JOB SUMMARY: The Analyst provides analytical support for all departments, including analysis, pricing, capitation, network and provider specific reporting. Analytical support includes creating and executing beginner and intermediate level reports and programs and programming modifications to previously written reports. The Analyst will collaborate with key stakeholders and determine the needed result including any special specifications. The Analyst will work with several databases to pull and integrate data, statistical analysis and data modeling. KEY RESPONSIBILITIES: <ul> <li>Execute, write, test, validate, analyze and distribute reports. Determine appropriate approach and tools needed to complete project in an efficient and timely manner. Collaborate with key stakeholders and senior analysts. </li> <li>Determine, write and present report results with key findings and trends to appropriate stakeholders.</li> <li>Complete multiple concurrent ad-hoc analyses, provide corresponding reports based on customer specifications, determine and communicate analytical conclusions and recommendations. </li> <li>Develop beginner to intermediate level reports and ad-hoc analysis based on specifications outlined by department management. Automate such reports and ensure that they are performed and delivered on schedule. </li> <li>Perform tasks related to maintenance of Departmental Data Warehouse and its documentation.</li> <li>Perform other duties as assigned.</li> </ul> QUALIFICATIONS: <ul> <li>Ability to apply advanced mathematical and statistical techniques and principles into the analysis of health-related data.</li> <li>Possess strong oral and written communication skills with the ability to communicate results in a clear and concise manner.</li> <li>Ability to converse and write fluently in English.</li> <li>Successful completion of Health Care Sanctions background check.</li> <li>Proficient in Microsoft Office applications.</li> </ul> EDUCATION/EXPERIENCE: <ul> <li>Bachelor’s degree Required. Mathematics, Statistics, Economics, Actuarial Science or other quantitative discipline preferred.</li> <li>Demonstrated use of analytical software. SAS or SQL preferred.</li> <li>Experience in Power BI, Tableau or similar software preferred.1-2 years of related experience preferred.</li> </ul> CommunityCare is an equal opportunity at will employer and does not discriminate against any employee or applicant for employment because of age, race, religion, color, disability, sex, sexual orientation or national origin <h2 id="otherDetailsHeader">Other details</h2> <ul> <li> Job Family Commercial </li> <li> Pay Type Salary </li> <li> Employment Indicator Seasonal </li> </ul> <a href="#"> Apply Now </a>

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