Senior Staff Decision Science (Risk)

Flex is a growth-stage, NYC headquartered FinTech company that is creating the best rent payment experience. It’s hard to believe that it’s 2026 and paying rent on time is expensive, inflexible, and difficult. We’re here to change that! Flex enables our users to pay rent throughout the month on a schedule that better fits their finances and budget. Our mission is to empower as many renters as possible with flexibility over their most significant recurring expense. After deliberately keeping a stealth profile as we built up unprecedented investor support and an enthusiastic user base, we are looking for motivated individuals to help us keep our mission growing. Will you be a part of the team?

About the role

We are seeking an experienced Senior Staff Decision Scientist to join our Risk and Decision Science team. In this role, you will play a pivotal part in shaping the design of a new credit product, developing its risk policy and launch strategy, and proactively identifying the next opportunities to expand its scope. Your work will be central to managing financial risk, maximizing customer lifetime value (LTV), and driving long-term business growth.

What you’ll do

• Partner with the product, engineering and Legal & Compliance team to shape product strategy and define the 3–6 month risk roadmap for the domain.
• Define and implement risk policies and strategies to support the product's launch.
• Build scalable, product-level dashboards and pipelines to track product KPIs, risk exposure and loss trends that are reused across teams 
• Leverage data-driven insights and experimentation to inform policy updates, drive continuous improvement to maximize customer LTV.
• Take full ownership of the product's unit economics — setting ambitious goals and identifying the pathway to sustainable, long-term growth.

Key qualifications

• 8+ years of relevant experience, including risk/credit strategy at a financial institution or Fintech.
• A graduate degree in Statistics, Mathematics, Computer Science, or a related quantitative field.
• Advanced proficiency in SQL and data visualization, with a track record of building scalable analytics and tooling that other teams reuse.
• Excellent problem-solving skills and effectiveness in communicating complex technical concepts to non-technical stakeholders.
• Subject-matter expertise across a large risk domain (e.g., existing-user credit risk or account takeover), with a strong sense of ownership and a track record of proactively expanding scope.
• Hands-on experience applying AI/LLM tools (e.g., Claude Code) to accelerate analytics — evaluating and adopting AI tooling for the team and building automations others reuse, with sound judgment on accuracy, bias, and compliance.

Compensation

Flex takes a market-based approach to pay, ensuring compensation is commensurate with a candidate's experience and our internal leveling guidelines. For candidates located in our Tier 1 (NYC/Bay Area) markets, the base salary pay range for this role is below. Flex utilizes a geographic pay differential based on a cost of labor index. If you are located outside of the cities listed below, your starting pay will be adjusted to align with the market conditions of your specific geographic zone. Please speak with your recruiter for additional information regarding the specific range for your location.

Life at Flex

Offices

Roles posted in New York, San Francisco, and Salt Lake City are hybrid positions with on-site expectations of 2-3 days per week in our local offices. For candidates outside of these areas, you may be eligible for our relocation assistance program.

Benefits

For full-time U.S. employees we offer:

• Competitive medical, dental, and vision
• Company equity
• 401(k) plan with company match 
• Unlimited paid time off + 13 company paid holidays
• Parental leave 
• Free Flex subscription

 For full-time non-U.S. employees, we offer:

• Competitive compensation + company equity
• Unlimited PTO