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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Manager, Risk Strategy Data Scientist - **Company:** Wills and Wills L P - **Location:** San Jose, CA, United States (Remote available) - **Experience:** Expert - **Salary:** $190,400.0 - $238,050.0 - **Contract:** Permanent contract - **Skills:** Microsoft Excel, Artificial Intelligence, Business Analytics Applications, Data Analysis, Data Visualization, Fraud Prevention and Detection, Python (Programming Language), Pattern Recognition, SQL Databases, Large Language Models, Scikit Learn, Machine Learning Operations - **Published:** July 22, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=a39c3fca1ea78784 ## About the Role * 8 years of experience in risk management within the Fintech or financial services industries with an emphasis on fraud and credit risks and 3 - 5 years in management * Bachelor's degree; MS/MA/MBA degree preferred in Business, Economics, Finance, Analytics, Mathematics, or a related field * Strong knowledge of the fundamentals of risk strategy such as fraud detection and prevention, balancing customer experience against rising fraud threats, using data to draw insights for risk mitigation * Adept at SQL queries, reporting and presenting findings; Proficiency in Excel and other visualization tools * Strong organization and time management skills and the ability to prioritize manage multiple projects at once * Ability to collaborate effectively with Product Management, Engineering teams to convey the strategy and work through the roadmap prioritization, planning and implementation. Also collaborating effectively with Customer success and sales teams while dealing with escalations and effectively communicating the risk policies to the broader organization. * Extensive knowledge and experience with defining, developing, and deploying risk management methodologies and models including data science and rule-based and predictive fraud models * Expertise in driving operational efficiencies and scale through ongoing policy and model optimization. * Communicate and liaise effectively with the Compliance team and formulate the strategy for new product launches. * Experience managing cross-functional, multi-stakeholder processes, communicating and influencing stakeholders at various levels across functional boundaries * Strong analytical abilities. Familiarity with typical credit data, systems & technologies is highly valuable * Hands-on experience leveraging AI/ML tools to strengthen fraud strategy, including using LLM-based signals, anomaly detection, or generative AI to identify emerging fraud patterns and inform rule and model development * Familiarity with AI-assisted analytics platforms (e.g., Python-based ML libraries, AutoML tools, or vendor AI solutions) to accelerate fraud pattern recognition, risk scoring, and strategy iteration at scale * Demonstrated ability to evaluate and govern AI-generated outputs within a fraud risk context - including assessing model drift, managing false positive/negative tradeoffs, and knowing when to override automated fraud decisions ## Related Videos - [Detecting Money Laundering with AI](https://www.wearedevelopers.com/videos/111-detecting-money-laundering-with-ai) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1146-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) - [Overview of Machine Learning in Python](https://www.wearedevelopers.com/videos/840-overview-of-machine-learning-in-python) - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1520-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [How to start an AI project for a good cause and boost your career](https://www.wearedevelopers.com/magazine/15-how-to-start-an-ai-project-for-a-good-cause-and-boost-your-career) - [Got AI ideas but no money? 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