Quantitative Researcher – Vol Mid Frequency

Algo Capital Group; New York (NY); On-site; USD 110,000 - 150,000; Full time

Job summary

A global prop trading company seeks a Quantitative Researcher for Volatility Mid Frequency trading. The role includes developing innovative strategies and managing a team of researchers, focusing on optimizing strategy performance and risk management. This is an exciting opportunity to work alongside leading traders in a thriving environment.

Qualifications

• 3 years of proven experience in MFT Volatility Strategies.
• Proficient coding skills in Python, C++, or Java.

Responsibilities

• Drive alpha generation by developing innovative signals and strategies.
• Perform back testing and stress testing on strategies.
• Guide and mentor a team of quantitative researchers.

Skills

Python

C++

Java

Education

Bachelor’s or master’s degree in Mathematics, Physics, Statistics, Computer Science

Job description

Quantitative Researcher – Vol Mid Frequency

Quantitative Researcher – Vol Mid Frequency

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Quantitative Researcher – Vol Mid Frequency

A global prop trading company is hiring for Vol MFT researcher, you will spearhead innovative research efforts, focusing on creating and optimizing volatility-based strategies using advanced quantitative methods. Your primary responsibilities will be to generate consistent alpha while managing risk and optimising strategy performance. Working closely with some of the top traders, technologists, and risk managers, you will have the opportunity to lead a team of researchers, contributing directly to the firm's success

Main Responsibilities:

• Drive alpha generation by developing innovative signals and implementing cutting-edge strategies
• Develop and maintain MFT strategies to ensure maximum efficiency in strategy execution
• Perform comprehensive back testing and stress testing to assess the performance of strategies across different market conditions
• Guide and mentor a team of quantitative researchers and analysts, promoting innovation and collaboration within the group

Ideal Candidate:

• Proven track record of 3yrs
• History of developing and executing MFT Volatility Strategies
• Proficient coding skills in languages such as Python, C++, or Java
• Bachelor’s or master’s degree in a quantitative field such as Mathematics, Physics, Statistics, Computer Science, or related Quantitative disciplines

This is a rare opportunity to work with top portfolio managers to optimise execution and performance. If you're looking to make a meaningful impact in mid-frequency trading and are enthusiastic about advancing your career at a leading proprietary trading firm, this position is ideal for you.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Finance, Analyst, and Information Technology

• Industries

  Capital Markets, Investment Management, and Financial Services

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