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Staff Data Scientist, Algorithm, Financial Markets Engineering

United States, San Francisco - California

SpringCube

Full-time - Senior Engineer

Fintech

Posted 3 weeks ago

Disclosed upon interview

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Job Description

The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.

Company Overview
A leading global payments and financial platform empowers over 200,000 businesses worldwide with integrated solutions for accounts, payments, spend management, treasury, and embedded finance. With a proprietary technology infrastructure, the company operates across 26 offices globally, employing over 2,200 professionals. Valued at US$8 billion and backed by top-tier investors, the organization is at the forefront of fintech innovation and global financial services.

Summary
The Staff Data Scientist will lead the modelling and analysis roadmap for foreign exchange (FX) products, driving actionable insights to optimize trade execution, manage market risk, and support strategic decision-making. The role requires deep expertise in statistical modeling, machine learning, and data-driven analysis, collaborating closely with cross-functional teams across Product, Engineering, Trading, Risk, and Finance.

Responsibilities

  • Own and prioritize the FX modelling and analysis roadmap in collaboration with Product Managers
  • Develop and maintain models to forecast and monitor FX rate volatility
  • Apply statistical and machine learning models to optimise FX trade execution, reducing costs and improving routing efficiency
  • Conduct data-driven analyses including customer cohort analysis, profitability assessment, and customer segmentation
  • Collaborate with Product Managers, Traders, Risk, Engineering, and other stakeholders to translate insights into actionable decisions
  • Communicate analytical findings clearly to cross-functional teams to influence business strategy and decision-making

Minimum Qualifications

  • 7+ years of industry experience with an advanced degree (PhD or MS) in a quantitative field such as Statistics, Engineering, Computer Science, Economics, or related disciplines
  • Strong proficiency in data querying (SQL), scripting (Python), and/or statistical software (R); knowledge of schema design and dimensional data modeling is a plus
  • Ability to perform statistical analysis and develop machine learning models for data-informed decisions
  • Experience presenting analytical results to executives and cross-functional teams

Preferred Qualifications

  • Experience in technology, financial services, trading environments, or high-growth companies
  • Understanding of financial markets, foreign exchange, and dynamic trading systems

Disclaimer
SpringCube curates tech job listings from various company websites to support tech professionals in globally.

1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
2. No Client Relationship: This company is not a client of SpringCube unless stated.
3. To Apply: Click the “Apply” button to be redirected to the hiring company’s application page for this job.
4. No Liability: SpringCube is not liable for inaccuracies.

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