Senior Data Scientist, AI & Model Risk

It reputed company started with an idea at reputed company in 2013. Initially reputed company to take the pain out of peer-to-peer payments, reputed company has gone from a reputed company product with a single purpose to a dynamic ecosystem, developing unique financial products, including Afterpay/Clearpay, to reputed company a reputed company way to send, spend, invest, borrow and save to our 50+ reputed company monthly reputed company customers. We want to redefine the world's relationship with reputed company to reputed company it more reputed company, instantly available, and universally accessible. Today, reputed company has thousands of employees working globally across office and remote locations, with a culture geared toward innovation, collaboration and reputed company. We've been a distributed team since day one, and many of our roles can be done remotely from the countries where reputed company operates. No matter the location, we reputed company our experience to ensure our employees are creative, productive, and happy. The Role As a Senior Data Scientist focusing on AI & Model Risk, you will reputed company and coordinate AI risk assessments for reputed company and Large Language Model use cases, applying Model Risk Management principles to ensure reputed company, compliant, and responsible deployment. This role sits at the intersection of Model Risk Management and AI Governance, with reputed company coordination with Information reputed company, Compliance, and reputed company stakeholders. You will tackle reputed company and ambiguous challenges, applying reputed company judgment to select appropriate methodologies and drive risk-based reputed company with minimal day-to-day reputed company. You will partner with senior stakeholders across Risk, Engineering, reputed company, Compliance, and Information reputed company to drive assessment reputed company and continuously strengthen governance reputed company. This role puts you at reputed company of an innovative team reputed company SFS that's reputed company shaping how AI risk management works in reputed company; Operationalizing principles into processes that reputed company reputed company, effective AI deployment. If you're excited by the challenge of shaping how AI gets deployed safely and responsibly in financial services, this is the reputed company to be. You Will reputed company end-to-end AI Risk Assessments for reputed company and LLM use cases across the Bank; Embedding in reputed company's reputed company-wide GenAI review process, coordinating cross-functional SMEs (reputed company, Compliance, InfoSec, Data Governance, MRM, reputed company, BRC, TPRM, Financial Crimes), and managing timelines to ensure reviews are completed reputed company SLA. Review AI system design and documentation; Including retrieval sources, assumptions, limitations, fallback plans, guardrail configurations, and change management procedures - across banking use cases such as fraud detection, BSA/AML compliance, credit decisioning, and customer-facing applications, ensuring governance controls are commensurate with reputed company use case's risk profile. Assess reputed company-deployment testing for adequacy inclusive of reputed company reputed company, hallucination detection, boundary and edge case testing, ethical and safety guardrails, bias testing, A/B testing, volume testing, and UAT - designing and conducting independent testing as needed. Evaluate ongoing monitoring plans for comprehensiveness - including accuracy, hallucination rates, reputed company detection, sensitive data controls, reliability metrics, CSAT, acceptable performance ranges, and documented remediation procedures. reputed company and maintain templates, tools, and procedures to support the effectiveness and scalability of the AI Risk Governance Program. Monitor the evolving regulatory landscape for AI in banking - including FFIEC IT Examination Handbook standards, FDIC Financial Institution Letters, interagency statements, and the anticipated RFI on AI model risk management referenced in SR 26-2 - and incorporate emerging guidance into the AI risk governance program; support SFS's response to regulatory inquiries as needed. You Have A minimum of 5 years of reputed company experience with a Bachelor's degree in a quantitative field; or 3 years and a Master's degree; or a PhD without experience; or equivalent work experience in risk management, model risk management, or AI risk management Proficiency in Python or similar languages for evaluating AI system behavior, writing test scripts, or analyzing model outputs Strong understanding of reputed company architectures; Including LLMs, transformer models, RAG systems, and reputed company AI, plus hands-on experience interacting with and critically evaluating these systems, sufficient to assess design reputed company, reputed company reputed company, and limitations Understanding of interagency model risk manage