We have open roles on multiple teams including:

• Emerging Products - focuses on 0-to-1 development of new offerings brought to market
• Application Fraud - analyzes the foundational elements of consumer financial applications to detect all forms of fraud
• Identity - resolves identities across massive, often conflicting data sources (both digital and physical) and generates risk models from limited information

Technologies: Python 3, PostgreSQL, and AWS infrastructure (EC2, S3, RDS, Redshift, etc.)

Responsibilities:

• Develop and maintain SentiLink’s fraud detection models through the full model development lifespan: from data acquisition decisions through featurization, focusing labeling resources, model training, experimentation, productionalization, and monitoring.
• Build foundational modeling to drive SentiLink’s expanding suite of Fraud and Financial Risk products.
• Research new types of fraud and develop new SentiLink products around identity verification.
• Achieve success by researching / developing through iteration, integration of new data sources and inventive feature engineering.
• Write production-ready code that can be relied on for real-time decision making by our partners.
• Design, perform, and present analyses that will inform data acquisition, product development, risk operations priorities, marketing, and sales efforts.
• Work with engineering, risk operations, and data acquisitions to access necessary data, maintain data quality, and support data access

Requirements:

• 4+ years relevant work experience & relevant PhD or 6+ years & relevant Masters
• Proven track record of solving complex / high profile business problems with DS / ML solutions
• Experience in communicating outcomes / progress to senior management / stakeholders
• Very strong in “end to end” DS development: Planning, fleshing out success criteria / metrics, getting buy-in, developing the solution, delivering the solution (prod / deck / strategy doc / etc)
• Strong practical ML / Stats knowledge, i.e. can easily employ the suite of standard ML / stats tools to quickly scope out solutions, and double down where needed. Experience with SOTA ML solutions is a plus
• Interest in developing deep domain expertise for product-focused work: a background in fraud is not required, but willingness to learn is
• Experience writing production code and tests
• Detail oriented and thoughtful - someone we can rely on to make business-changing decisions
• Bonus for familiarity with: identity solutions, fintech, or adjacent industries
• Experience working at a startup strongly preferred
• Thrive in a fast paced environment characterized by the need to solve extremely varied, high impact, open ended problems.
• Candidates must be legally authorized to work in the United States and must live in the United States

Salary Range:

• $200,000/year - $240,000/year + equity + benefits

Perks:

• Employer paid group health insurance for you and your dependents
• 401(k) plan with employer match (or equivalent for non US-based roles)
• Flexible paid time off
• Regular company-wide in-person events
• Home office stipend, and more!

Corporate Values:

• Follow Through
• Deep Understanding
• Whatever It Takes
• Do Something Smart