Staff Data Scientist, Algorithm, Financial Markets Engineering

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Company Overview

A leading global financial technology organization provides a unified payments and financial platform for businesses worldwide. Through proprietary infrastructure and software solutions, the company enables organizations to manage business accounts, payments, spend management, treasury operations, and embedded finance at a global scale. With a distributed team spanning multiple international offices, the organization is focused on building the future of global banking and empowering businesses through innovative financial technologies.

The organization is seeking a Staff Data Scientist, Algorithm, Financial Markets Engineering to lead the modeling and analytical strategy for foreign exchange (FX) products. This role offers the opportunity to work on high-impact financial market challenges, leveraging statistical analysis, machine learning, and data science techniques to support trading, risk management, and product innovation.

The successful candidate will collaborate closely with cross-functional teams across Product, Engineering, Risk, and Finance to deliver actionable insights and scalable solutions that influence business strategy and optimize financial outcomes.

Key Responsibilities

• Own and drive the modeling and analysis roadmap for FX products, identifying high-impact opportunities and prioritizing initiatives in partnership with Product Managers.
• Develop and maintain models to forecast and monitor FX rate volatility, delivering actionable insights to support trading and execution strategies.
• Apply statistical and machine learning techniques to optimize FX trade execution, minimize costs, improve routing efficiency, and manage market risk exposure.
• Conduct data-driven analyses, including customer cohort analysis, profitability analysis, and customer segmentation, to support strategic decision-making.
• Partner with Product Managers, Traders, Risk teams, Engineering, and other stakeholders to translate analytical findings into product and trading decisions.
• Communicate analytical insights and recommendations clearly to cross-functional teams to influence business strategies and outcomes.
• Collaborate with global teams across multiple regions to solve complex data challenges within the fintech ecosystem.
• Contribute to the advancement of data science capabilities and best practices across the organization.

Required Qualifications

• Proven experience in data science, machine learning, or quantitative analysis within financial services, fintech, or related industries.
• Strong understanding of statistical modeling techniques and their application to financial market data.
• Experience developing predictive models and monitoring frameworks for market behavior and volatility analysis.
• Hands-on experience optimizing trading strategies, execution models, or financial algorithms.
• Proficiency in data analysis tools, programming languages, and machine learning frameworks.
• Ability to work effectively with cross-functional teams and communicate complex analytical concepts to technical and non-technical stakeholders.
• Strong problem-solving skills, business acumen, and a data-driven approach to decision-making.
• Passion for innovation, continuous learning, and building impactful solutions in a fast-paced environment.

Disclaimer

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