Senior FX Vol Quant Researcher, DMFI Quantitative Resources

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

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Weekend work

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Offered Verified - from the job posting source checked Jun 20, 2026

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About this role

Senior FX Vol Quant Researcher, DMFI Quantitative Resources Dubai, United Arab Emirates; Hong Kong, Hong Kong; London, England, United Kingdom; New York, New York, United States; São Paulo, Brazil The Role We are seeking an exceptionally talented individual to join our DMFI Quant team as a quant researcher. Our mission is to deliver real-time and high-quality risk and analytical tools to support our Portfolio Management teams in their decision-making process. This role is your chance to be a key contributor in the development of our cross-asset analytics platform. What you'll do Working in the QR analytics team you will be in charge of modelling, implementing and maintaining all aspects of our FX volatility analytics framework. The ideal candidate will have: - an interest in continuous improvement and learning - high level of attention to detail - strong sense of ownership - proven ability to think outside the box What you'll bring - A MSc or PhD in a STEM discipline - Very strong financial mathematical background (e.g. stochastic calculus) - 5+ years development experience in both compiled language (C++, C#, Rust…) and Python - 5+ years experience in financial institutions, preferably in a quant modelling role - A deep technical knowledge of FX derivatives modelling including exotics - Excellent algorithmic knowledge - Track record of delivering projects from start to finish - Excellent communication skills, both written and verbal - Great problem solver What do we offer - Direct impact: your code hits production daily and drives trading decisions -

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