Senior Data Scientist, Fraud

September 30

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

🗽 New York – Remote

Although this job is listed in New York, this company may be open to hiring remote in other states.

+1 more states

🏄 California – Remote 🗽 New York – Remote 🌲 Oregon – Remote

💵 $166.6k - $208.3k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

🦅 H1B Visa Sponsor

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Mercury

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Fintech • Finance • SaaS

Mercury is a financial technology company that provides online business banking services, although it is not a bank itself. It partners with FDIC-insured banks like Choice Financial Group, Column N. A. , and Evolve Bank & Trust to offer banking services. Mercury aims to simplify financial operations for startups and businesses by offering a range of services including checking and savings accounts, treasury management, corporate cards, expense management, invoicing, and accounting automations. The platform is designed to streamline various banking tasks and enhance financial workflows with features like fraud monitoring and account security. It also offers investment opportunities through its Mercury Treasury product and startup support through its Mercury Raise platform.

201 - 500 employees

Founded 2019

💳 Fintech

💸 Finance

☁️ SaaS

📋 Description

• Detect, monitor, and mitigate first-party fraud (fraudulent applicants) and account takeover (ATO). • Develop dashboards and monitoring systems to track key fraud and account health metrics. • Conduct deep-dive analyses to understand fraud trends and behaviors and translate findings into actionable recommendations. • Build, validate, and deploy machine learning models to identify and prevent fraud in real time. • Support ad hoc investigations and ensure data quality and reliability across pipelines and tools. • Collaborate with Risk Strategy and Engineering to optimize rules, scoring systems, and other fraud defenses. • Partner with cross-functional teams (Engineering, Product, Design, Operations) to embed data insights into decision-making.

🎯 Requirements

• 5+ years of experience working with and analyzing large datasets to solve problems and drive impact, with 1+ years of relevant domain experience. • Proficiency in SQL and experience using it to understand and manage imperfect data. • Proficiency in Python and experience with statistical modeling and machine learning. • Experience deploying and monitoring machine learning models in production. • The ability to balance high-leverage projects with foundational work such as reporting, dashboarding, and exploratory analyses. • Comfort working in a fast-paced environment with evolving priorities. • (Ideal) Experience building zero-to-one solutions in ambiguous or greenfield problem spaces. • (Ideal) Familiarity with LLMs or other GenAI and how they can be applied to risk or fraud detection. • (Ideal) Experience with modern data tools for pipelines and ETL (e.g., dbt).

🏖️ Benefits

• Base salary • Equity (stock options) • Benefits (unspecified) • Remote work options (Remote within Canada or United States) • Any Office or Remote policy • Commitment to reasonable accommodations during recruitment