Data Scientist I - Fraud Model Governance
About The Position
This job is responsible for analyzing and interpreting large datasets to uncover potential revenue generation opportunities and develop effective risk management strategies. Key responsibilities include collaborating with key stakeholders to comprehend business problems, utilizing data gathering and analysis techniques to devise solutions, and presenting recommendations based on the findings. Job expectations include demonstrating flexibility, resilience, accountability, a disciplined approach, and a commitment to fostering responsible growth for the enterprise. Client Protection is looking for an model developer / data scientist to join our team and help us combat financial crime. You will be responsible for developing advanced technical documentation for an array of internally- and vendor-developed models ranging from regression to sophisticated techniques including XGB, neural networks, graph. Experience with Model Risk Management compliance (SR-11-7, SR-26-2) is highly desirable.
Requirements
- 3+ years of experience in model development or validation is required
- Must be proficient Python, SQL (SAS is a plus)
- Excellent technical writing skills
- Critical problem-solving abilities including selection of data and deployment of solutions
- Proven ability to manage projects and work with limited direction on complex problems to achieve project goals while also working as part of a broader team
- Excellent communication and influencing skills
- Thrives in fast-paced and highly dynamic environment.
- Intellectual curiosity and strong urge to figure out the “whys” of a problem and come up with creative solution
Nice To Haves
- Advanced STEM (Science, Technology, Engineering, Math) degree (Masters or PhD)
- 5+ years of experience working as model developer, data scientist, model validator, preferable on fraud, credit, market, or other heavily quantitative areas.
- Advanced understanding of machine learning methodologies including neural networks, ensemble learning like XGB, and other techniques
- Experience with Model Risk Management compliance (SR-11-7, SR-26-2)
Responsibilities
- Developing advanced technical documentation for an array of internally- and vendor-developed models ranging from regression to sophisticated techniques including XGB, neural networks, graph
- Working closely with developers to understand how the model works and provide effective challenge to not only push back on methodology but also ensure results are accurate
- Partnering with technology and model users to schedule deployments and planning for future model installations
- Working with independent model risk management, legal and compliance teams to ensure models are fully validated and approved for usage
- Producing analytics to ensure early model results look consistent with expectations
- Conducting regular model monitoring and sharing performance results and analytical insights with model stakeholders and users
- Supporting Bank policy for Artificial Intelligence models and ensuring any risks of using advanced techniques are identified and mitigated
- Tracking model changes after deployment and ensure appropriate documentation reflects any adjustments, patches or updates
- Driving model performance analytics above and beyond Model Risk Management policy requirements, including granular performance monitoring, early trend detection, root cause analysis, and gap analysis.
Benefits
- Access to paid time off
- Resources and support to our employees
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
Associate degree
