{"id":214524,"url":"https://alion.io/job/stripe-data-science-manager-risk","title":"Data Science Manager, Risk","company":{"id":64,"name":"Stripe","domain":"stripe.com","url":"https://alion.io/company/stripe","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":79,"open_postings":121,"ghost_share":0.017,"stale_share":0.595,"repost_share":0.033,"time_to_fill_p50_days":64,"computed_at":"2026-10-29T05:49:05Z"}},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":44000,"max_usd":82000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":17},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Python","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-05-14T15:33:56Z","employer_posted_date":"2026-10-21","last_verified_at":"2026-10-29T18:22:10Z","board_verified":true,"closed_at":null,"days_open":168,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":168},"description":"Who we are\nAbout Stripe\nStripe is a financial infrastructure platform for businesses. Millions of companies-from the world's largest enterprises to the most ambitious startups-use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.\nAbout the team\nThe Data Science and Analytics organization at Stripe partners with teams across the company to drive rigorous, data-informed decision-making at scale. Within this org, the Verifications and Greater China data teams deliver critical analytical and data science work-from identity verification and risk modeling to market-specific growth insights-that directly shapes Stripe's ability to serve users safely and expand into new markets.\nToday, the team comprises individual contributors distributed across Singapore and India, supporting two high-impact pillars. We're looking for a founding Data Science Manager based in Bengaluru to build and lead this growing regional footprint from the ground up.\nWhat you'll do\nThis is a rare 0 → 1 leadership role with a dual mandate.\nPillar 1-Direct Team Leadership\nManage a team of Data Scientists and Data Analysts (currently 4 individual contributors across India and Singapore) spanning the Verifications and Greater China workstreams.\nOwn roadmap prioritization, execution quality, and stakeholder alignment for both workstreams.\nDrive hiring for open and future roles in India, building a high-caliber data team in a competitive talent market.\nFoster individual contributor growth through real-time coaching, mentorship, career development, and performance management.\nPillar 2-Regional Data Craft Lead (India Office)\nServe as the founding data craft leader for Stripe's India office. Set quality standards, establish community rituals (knowledge sharing, peer reviews, office hours), and cultivate a strong local data culture.\nAct as the go-to point of contact for data craft standards, tooling, and best practices for co-located analysts, even those outside your direct reporting line.\nPartner with managers and leads across the broader Data org to ensure consistency in methodology, tooling, and quality bar.\nSupport onboarding and integration of new data hires in the Bengaluru office.\nOver time, this role has the potential to evolve into a Center of Excellence (COE) model-becoming the single point of data leadership in India across multiple product pillars (e.g., Payments, Growth, Marketing), not just Risk.\nResponsibilities\nBuild, manage, and develop a high-performing, geographically distributed data team.\nDefine and drive the data roadmap in close partnership with product, engineering, and business stakeholders-ensuring analytical work is tightly coupled to business outcomes.\nEstablish and raise the bar on analytical rigor, experimentation frameworks, and data science best practices across the team.\nRecruit and retain skilled data talent, crafting a compelling hiring narrative anchored in local leadership and craft excellence.\nChampion a culture of technical excellence, intellectual curiosity, and operational discipline.\nCollaborate with cross-functional partners and other data leaders globally to align priorities, share learnings, and maintain org-wide consistency.\nCommunicate insights, recommendations, and team progress clearly to senior leadership.\nWho you are\nWe're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.\nMinimum requirements\n10+ years of experience in data science, analytics, or a related quantitative field, with 3+ years in a people management role leading data scientists or analysts\nStrong technical foundation in SQL, Python or R, statistical modeling, and experimentation design\nDemonstrated ability to translate ambiguous business problems into structured analytical frameworks and actionable insights\nExperience managing and developing individual contributor talent across multiple levels, including coaching, career pathing, and performance management\nExcellent communication and stakeholder management skills-able to influence without authority across functions and time zones along with proven ability to drive alignment and execution across distributed, cross-functional teams\nPreferred qualifications\nAdvanced degree (M.S. or Ph.D.) in a quantitative discipline such as Statistics, Economics, Computer Science, Mathematics, or a related field\nExperience working in the payments, fintech, or financial services industry\nPrior experience building and scaling data teams in a high-growth environment-particularly standing up 0 → 1 functions or teams\nTrack record of being a builder who has personally architected the rituals, standards, hiring bar, and craft culture for a data team from the ground up\nFamiliarity with risk, verifications, or compliance-related data domains\nExperience operating across Asia-Pacific markets and navigating the nuances of multi-region team management\nPassion for developing others and creating environments where individual contributors do the best work of their 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