Senior Staff Decision Science (Risk)
Join Flex as a Senior Staff Decision Scientist to shape risk policies for a new credit product in a growth-stage FinTech company.
Posted by employer 1 month ago
First seen on Joblaze 1 week ago
Last verified on the company career page 2 hours ago
Skills & Technologies
AI in the day-to-day
Hands-on experience applying AI/LLM tools to accelerate analytics and build automations.
Requirements
- Experience
- 8+ years
- Education
- Master's degree
Not disclosed in this posting: visa sponsorship.
Benefits
Joblaze summary
In the role of Senior Staff Decision Scientist at Flex, the individual will focus on shaping the design and risk strategy of a new credit product, ensuring its successful launch and ongoing management. Key skills include advanced data analysis, SQL proficiency, and experience in risk policy development, particularly within the FinTech sector. This position is ideal for seasoned professionals with a strong quantitative background and a proactive approach to expanding product scope. Flex is a growth-stage company committed to enhancing the rent payment experience, fostering an inclusive culture as it scales.
Joblaze insights
- Listed 10 days ago on Joblaze — tracked directly from Flex's career page.
- Flex has 53 other open roles including Sales Development Representative I, Director, Strategic Partnerships, Lifecycle Marketing Manager.
- 5189 active AI/ML roles on Joblaze right now.
- 2308 active SQL roles on Joblaze right now.
- 54 active data visualization roles on Joblaze right now.
- Salary band is above the typical range for Data Science roles (median ~$164,695).
- Pays more than 56% of the 2253 salaried AI/ML roles we track (median $180,000). See AI/ML salary trends
Quick facts
- Is the Senior Staff Decision Science (Risk) role remote?
- It's hybrid — Flex expects some on-site time in New York, NY; San Francisco, CA.
- What's the salary range?
- Flex lists $190,000–$235,000 for this role.
- How much experience is required?
- At least 8 years of relevant experience for this Senior Staff Decision Science (Risk) role.
- Where is the role based?
- Flex is hiring for this position in New York, NY; San Francisco, CA.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AI/ML, SQL, data visualization.
- What seniority level is this role?
- Flex targets staff-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Senior Staff Decision Science (Risk) role at Flex.
From the original posting
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
We understand that it takes a diverse team of highly intelligent, curious, determined, empathetic, and self aware people to grow a successful company. Our HQ is located in New York City, but we have employees located throughout the US, Australia, Canada and South America. We are growing quickly, but deliberately, with a focus on building an inclusive culture. Our dynamic team has incredible perspectives to share, just as we know you do, and we take great pride in being an equal opportunity workplace.
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