Senior Quantitative Analyst

On behalf of a leading, high-growth financial technology provider, we are seeking a senior Quantitative Analyst who specializes in Futures & Options and possesses expert-level Python capabilities. This is a highly visible, cross-functional role bridging the gap between cutting-edge data science, product development, and client engagement. Reporting to the Head of Data Science (EMEA & APAC) with a direct line to the Chief Product Officer, you will leverage an award-winning, petabyte-scale data science environment to solve complex quantitative problems, drive key marketing and sales initiatives, and directly influence the firm's product roadmap. If you thrive in a fast-paced environment and want your quantitative work to directly impact business growth and client success, this is the role for you.

Responsibilities

Leverage a petabyte-scale data lake to perform deep-dive analysis, build technical prototypes, and deliver data-driven insights; Work closely with external partners, buy-side clients, and key stakeholders to translate complex business needs into robust, reproducible quantitative solutions; Collaborate with the product team to shape the product roadmap; gather client feedback, generate new product ideas, and actively participate in the development cycle; Support sales and marketing teams by demonstrating how the product suite solves real-world quantitative challenges, acting as the technical face of the product; Maintain clear, comprehensive documentation for all code and methodologies to ensure absolute transparency and reproducibility

Requirements

Minimum of an MSc in a highly quantitative discipline (STEM or Economics); 5+ years of professional experience working as a Quantitative Analyst in a financial or fintech environment; 3+ years of dedicated experience working with Futures and Options order book market data; Strong familiarity with other derivatives, equities, or fixed income; Proficiency in Python including data manipulation and statistical libraries (pandas, NumPy, Polars, and scikit-learn); Proven experience working with very large, complex datasets under tight deadlines; Exceptional ability to present and translate complex technical findings to both technical and non-technical audiences

Nice to have

Experience working on the Buy Side (Hedge Funds, Asset Managers); Familiarity with database management systems like Snowflake or SQL; Hands-on experience with Cloud Platforms (AWS, GCP, or Azure); Exposure to other Object-Oriented Programming (OOP) languages

Benefits

Direct access to an award-winning, petabyte-scale data lake and top-tier data science environment; High visibility and impact with exposure to C-suite leadership; Continuous learning at the forefront of financial technology; Highly competitive base salary; Performance-driven bonus; Comprehensive benefits package