The F&R team relies heavily on production machine learning (ML) models to automate fraud detection. We constantly update our models and develop new ones to address the fast-evolving financial fraud landscape. The key desired traits for a Data Scientist in this role are an advanced ability to translate security-related problems into mathematical language, lead research and own the production deployment. An ideal candidate will also be able to explain technical choices and trade-offs to broad audiences in a simple language. Above all, we want candidates who possess a “security mindset” – a drive to be constantly aware of the potential for threats and being proactive in safeguarding our clients’ information and assets.

Responsibilities:

    • Translate known or newly discovered security-related scenarios into mathematical problem statements.
    • Formulate project plans with clear rationale, candidate approaches and milestones.
    • Quantify performance of fraud detection models using appropriate metrics (accuracy, precision, recall) before and after production deployment.
    • Employ a high degree of mathematical rigor and best practices for software development.
    • Work with F&R leadership to propose and implement new security enhancements for our products.
    • Work with cross functional stakeholders to evaluate security implications for proposed new products or features.
    • Work with Data platform teams to procure required (but unavailable) data.
    • Explain technical choices, model limitations and trade-offs in a cross functional risk evaluation forums.
    • Enhance overall Data Science team execution through hands-on help, design feedback and peer review.

Requirements:

    • A Masters or a PhD degree in Computer Science, Statistics, Operations Research, or Natural Sciences with 4+ years of prior experience in a Data Science role. Exceptions to these requirements may be considered on a case-by-case basis.
    • Prior experience in financial fraud detection and prevention is preferred, but not required.
    • Strong communication and collaboration skills and a record of partnering across organizations to sharpen project requirements. Sometimes this includes re-framing the original request to solve a more general problem with similar effort.
    • Hands-on mathematical and software engineering skills to execute on complex projects.
    • Proficiency in Python and SQL.
    • Desire and ability to mentor junior Data Scientists within the team by exemplifying math, engineering and technical communication skills.
Estimated annual salary range: $165,000 – $185,000 USD plus equity and a discretionary bonus.
Benefits include medical, vision, dental, 401K plan, generous time off, parental leave, wellness reimbursements, professional development, employee investing discount, and more!
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