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Senior Quant Dev Analyst – Global Trading & Risk

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Onsite

Senior Quant Dev Analyst – Global Trading & Risk

Gravitas Recruitment Group

Senior Quant Dev Analyst – Global Trading & Risk

Skills

Big DataPythonData AnalysisLinuxNo-code Automations

1 month ago

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Important information


Contract type:

Permanent

Location:

Hong Kong

Work mode:

Onsite

Published on:

23 September 2026

What they need


➡️ What You Will Do (Role Purpose)

Your main job is to use math, data, and coding to help our investment banking team make smart trading decisions and manage financial risks. You will turn complex numbers into clear strategies that improve how we buy, sell, and invest.

Key Responsibilities

  • Build math tools: Create formulas and models to track market trends, figure out prices, and minimize risk for different financial products.
  • Support the trading floor: Work directly with traders and sales teams to build the software, tools, and data libraries they need every day.
  • Solve client problems: Partner with sales teams to understand what clients want and design custom financial solutions for them.
  • Study the market: Dive deep into large data sets using statistics to uncover hidden insights and predictable trends.
  • Drive innovation: Stay on top of new technology and modern math techniques to keep our trading systems fast and competitive.

Must-Have Skills & Qualifications

  • Advanced Degree: A Master's or PhD in a math-heavy subject (like Mathematics, Physics, Computer Science, or Engineering).
  • Financial Knowledge: A solid understanding of basic stock market products, including index futures, swaps, ETFs, and how to protect against foreign exchange (FX) or interest rate changes.
  • Coding: Strong skills in Python and a basic understanding of object-oriented languages like C++.
  • Core Math: Comfortable with probabilities, statistics, and heavy data analysis.
  • Soft Skills: Great communication skills, a sharp eye for detail, and the ability to solve tricky problems on your own.

Nice-to-Have Extras

  • Past experience with stock pricing, hedging, or automated market-making.
  • Experience building tools that work across both Windows and Linux, or setting up automated workflows.
  • Skill with data visual tools like Jupyter or Dash to turn messy data into clean charts.

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