Quantitative Researcher – Vol Mid Frequency

Algo Capital Group; New York (NY); On-site; USD 90,000 - 150,000; Full time

Job summary

An established industry player is seeking a Quantitative Researcher to lead innovative research in volatility-based strategies. This role offers the unique opportunity to collaborate with top traders and technologists, driving alpha generation through advanced quantitative methods. You'll be responsible for developing and optimizing MFT strategies, conducting thorough back testing, and mentoring a team of researchers. If you're passionate about making a significant impact in high-frequency trading and advancing your career in a dynamic environment, this position is perfect for you.

Qualifications

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

Responsibilities

• Develop innovative signals and strategies for alpha generation.
• Perform back testing and stress testing across market conditions.

Skills

Python

C++

Java

Quantitative Analysis

Education

Bachelor's degree in Mathematics

Master's degree in Statistics

Degree in Computer Science

Job description

Quantitative Researcher – Vol Mid Frequency

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 optimizing 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 3 years.
• 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 optimize execution and performance. If you're looking to make a meaningful impact in high-frequency trading and are enthusiastic about advancing your career at a leading proprietary trading firm, this position is ideal for you.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Finance, Analyst, and Information Technology

Industries

Capital Markets, Investment Management, and Financial Services