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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

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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

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

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* Employee Experience Technology team provides technology solutions to support the Chief Administrative Office, Legal, Audit and Global Human Resources Organizations. The key functions performed are master planning, vendor management, business engagement, application design &amp; development, and application life cycle planning and monitoring. The Audit Technology group is responsible for developing the solutions for Corporate Audit line of business. which performs internal auditing of processes, applications etc. across Bank of America eight lines of business. Job Description*. We are seeking an experienced Senior Data Scientist who can drive the technical vision for our AI based applications. The candidate needs to have strong knowledge in AI/ML, NLP, Deep Learning, LLMs, GenAI Models, Python scripting language and libraries, this role is responsible for building or optimizing Data science solutions and help the business to address complex problems. Responsibilities* Key responsibilities include: <ul> <li>Individual contributor role enabling Artificial Intelligence (AI) research and development at Bank of America</li> <li>Code design, research and prototype implementations for next-generation Artificial Intelligence systems, Data Analytics, Model development &amp; support, MRM process documentation and governance.</li> <li>Development &amp; enhancement of models including evaluation of vendor-built models.</li> <li>Helps define the technology tool stack for the solutions, Evaluates and adapts new tools/framework/practices for team(s).</li> <li>Constantly seek better ways of solving technical problems and designing the solution, Research and evaluate Innovative approaches to Data Science problems. Identify gaps and work with appropriate partners to develop plans to close gaps.</li> <li>Collaborate with development teams to understand requirements, ensure the architecture is feasible to implement and subsequently implemented accurately.</li> <li>Use data assets to gain insights into current processes and models.</li> <li>Drive processing, cleansing, and verifying the integrity of data used for analysis.</li> <li>Build, improve and extend NLP capabilities in various domains.</li> <li>Communicate findings, opportunities and gaps in techniques, tools, and infrastructure to all levels of the organization.</li> <li>Take results from POC to development to production in collaboration with product engineers and iterate through the validation and recalibration cycles.</li> <li>Take a leadership role in the data science community of experts.</li> <li>Lead Data Quality metrics development and monitoring, internal process design and documentation.</li> <li>Feature engineering.</li> <li>Contribute to story refinement/defining requirements.</li> <li>Participate in estimating work necessary to realize a story/requirement through the delivery lifecycle.</li> <li>Adhere to team delivery/release process and cadence pertaining to code deployment and release.</li> <li>Mentor and manage junior talent.</li> </ul> Requirements Education - B.E./ B. Tech/M.E./M. Tech/BSC/MSC/BCA/MCA (prefer IT/CS specialization) Experience Range - 10 to 15 years. Foundational skills* <ul> <li>Strong technical experience in Machine Learning, NLP, Deep Learning, Statistical Modeling. </li> <li>Strong understanding of machine learning techniques and algorithms, capability, and skills to develop and enhance models.</li> <li>Strong hands-on in Implementing LLM Models, GEN-AI Models, OpenAI API’s. </li> <li>Strong hands-on design and development experience in Python. </li> <li>Experience with data visualization tools. </li> <li>Worked on the Data analysis libraries like pandas. </li> <li>Experience in web APIs. </li> <li>Hands on experience with various databases – Oracle, SQL server and working experience in SQL, PL/SQL</li> <li>Strong hands-on experience with Unix scripting, Database tools like TOAD, SQL Developer and Autosys etc.</li> <li>Strong problem solving, analytical and interpersonal skills.</li> <li>Ability to work effectively in a team environment.</li> <li>Strong written and oral communication skills. Should have the ability to clearly express ideas.</li> <li>Experience working with Agile Methodology</li> <li>Experience with automated SDLC solutions (CI/CD)</li> </ul> Desired skills* <ul> <li>Project management tool JIRA and Version Control tools Github, Bitbucket – will be an added advantage.</li> <li>Must be able to interact and co-ordinate with distributed &amp; Cross-functional teams.</li> <li>Self-starter capability, ability to acquire new skills autonomously.</li> <li>Ability to present technical concepts to senior level business stakeholders.</li> <li>Assisting with the business cases and understanding stakeholder’s expectations and objectives</li> <li>Strong problem identification and solving skills.</li> <li>Excel in a fast paced, dynamic environment.</li> </ul> Work Timings*: 11:30 AM – 8:30 PM Job Location*: Hyderabad

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