Data Science Manager, Risk

Pillar 2: Regional Data Craft Lead (India Office)

Responsibilities

• Build, manage, and develop a high-performing, geographically distributed data team
• Define and drive the data roadmap in close partnership with product, engineering, and business stakeholders — ensuring analytical work is tightly coupled to business outcomes.
• Establish and raise the bar on analytical rigor, experimentation frameworks, and data science best practices across the team.
• Recruit and retain exceptional data talent, crafting a compelling hiring narrative anchored in local leadership and craft excellence.
• Champion a culture of technical excellence, intellectual curiosity, and operational discipline.
• Collaborate with cross-functional partners and other data leaders globally to align priorities, share learnings, and maintain org-wide consistency.
• Communicate insights, recommendations, and team progress clearly to senior leadership.

Who you are

Minimum requirements

• 10+ 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.
• Strong technical foundation in SQL, Python/R, statistical modeling, and experimentation design.
• Demonstrated ability to translate ambiguous business problems into structured analytical frameworks and actionable insights.
• Experience managing and developing IC talent across multiple levels, including coaching, career pathing, and performance management.
• Excellent communication and stakeholder management skills — able to influence without authority across functions and time zones.
• Proven ability to drive alignment and execution across distributed, cross-functional teams.

Preferred qualifications

• Advanced degree (M.S. or Ph.D.) in a quantitative discipline such as Statistics, Economics, Computer Science, Mathematics, or a related field.
• Experience working in the payments, fintech, or financial services industry.
• Prior experience building and scaling data teams in a high-growth environment — particularly standing up 0 → 1 functions or teams
• Track record of being a builder. Someone who has personally architected the rituals, standards, hiring bar, and craft culture for a data team from the ground up
• Familiarity with risk, verifications, or compliance-related data domains.
• Experience operating across APAC markets and navigating the nuances of multi-region team management.
• Passion for developing others and creating environments where ICs do the best work of their careers.