Quantitative Trader - MFT

Open 31d

At Optimus Prime Research, we’re building a high-performance team of MFT Traders focused on generating alpha through systematic research, disciplined execution, and constant strategy evolution. This is a live-markets role at the intersection of trading, technology, and quantitative thinking, where speed, ownership, and judgment directly shape outcomes.

You’ll work closely with traders, researchers, and developers to uncover short- to medium-term opportunities across derivatives markets. The role is designed for someone who performs well under pressure, enjoys solving hard problems, and wants to make high-conviction decisions using data, probability, and market insight.

Key Responsibilities

  • Trade options, futures, and other derivatives across asset classes using a medium-frequency approach.
  • Research, develop, and improve trading strategies using market data, statistics, and behavioural signals.
  • Identify repeatable sources of edge through pattern recognition, probability, and market microstructure analysis.
  • Track live positions, respond to market moves, and manage risk dynamically in real time.
  • Collaborate with developers and researchers to enhance execution systems, tools, and trading infrastructure.
  • Conduct post-trade analysis to evaluate performance, improve judgment, and strengthen strategy design.
  • Adjust quickly to shifts in volatility, liquidity, and market regime.

What We’re Looking For

  • Strong analytical and quantitative reasoning skills, with a minimum of 1 year of experience in a quantitative trading firm.
  • Deep curiosity about markets, trading behaviour, and decision-making under uncertainty.
  • Comfort operating in fast-feedback, high-accountability, performance-driven environments.
  • Proficiency in Python or C++, or a strong willingness to build expertise in them.
  • Calm, focused execution in high-pressure market conditions.
  • A competitive mindset, builder mentality, and bias toward action.
  • High ownership, intellectual agility, and a relentless drive to improve.

Preferred Qualifications

  • B.Tech/M.Tech from IITs or other top-tier institutions in engineering, mathematics, statistics, or related quantitative fields.
  • Exposure to derivatives, market microstructure, probability, statistics, or game theory.
  • Prior experience in trading, quantitative research, or algorithmic strategy development is valued.
  • Familiarity with back testing, live execution environments, and performance analytics is a plus.