Fintech Data Scientist Jobs

Data Science in Fintech

Data scientists at fintech companies build the models that power fraud detection, credit scoring, risk assessment, recommendation engines, and customer analytics. The role combines statistical modeling, machine learning, and domain knowledge to solve problems that directly impact millions of financial transactions.

Fintech data scientists work with massive datasets of transaction records, user behavior, and market data to develop predictive models and extract actionable insights. The work requires strong programming skills in Python and R, expertise in ML frameworks like TensorFlow and PyTorch, and understanding of financial products.

Top Employers and Compensation

Leading fintech employers for data scientists include Stripe, Square (Block), Affirm, SoFi, Robinhood, and numerous venture-backed startups. Data science roles at these companies offer competitive compensation of $115,000 to $190,000, with senior and staff-level scientists earning $200,000 to $300,000.

The most impactful data science work in fintech involves developing real-time fraud detection systems, building alternative credit scoring models that expand financial access, and creating personalized financial product recommendations that improve customer outcomes.

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