Senior Quant Dev Analyst – Global Trading & Risk

eFinancialCareers Ltd.; Hong Kong; On-site; HKD 900,000 - 1,500,000; Full time

Job summary

eFinancialCareers Ltd. is seeking an advanced quantitative professional to help our investment banking team make smart trading decisions and manage financial risks. You will turn complex numbers into actionable strategies using Python, data analysis, and math models.

You will build tools for traders and sales, explore large datasets, and stay ahead with new techniques to keep our systems fast and competitive. Collaboration is key.

Qualifications

• Master's or PhD in a math-heavy field (e.g., Mathematics, Physics, CS, or Engineering).
• Strong financial knowledge of stock market products, FX, and rates.
• Proficiency in Python and basic OOP (C++).
• Solid statistics, probabilities, and data analysis.
• Excellent communication and detail-oriented problem solving.

Responsibilities

• Build math tools, formulas, and models to track market trends and minimize risk.
• Support the trading floor with software, tools, and data libraries.
• Solve client problems by designing financial solutions with sales teams.
• Study large data sets to uncover insights and predictable trends.
• Drive innovation with new tech and math techniques for speed and competitiveness.

Skills

Advanced degree

Financial knowledge

Python programming

C++ basics

Probability & statistics

Data analysis

Communication skills

Problem solving

Education

Master’s or PhD in math-heavy field

Tools

Jupyter

Dash

Job description

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 ResponsibilitiesBuild 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 & QualificationsAdvanced 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 ExtrasPast 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.