Quantitative Trader - MFT

Optimusprime Securities And Research

Bengaluru

On-site

INR 1,500,000 - 2,300,000

Full time

14 days+
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Job summary

Optimus Prime Research is hiring for a live-markets MFT Trader role that blends trading, technology, and quantitative thinking. This position offers fast-paced ownership and the chance to make high-conviction decisions using data and market insight.

You will work with traders, researchers, and developers to uncover opportunities across derivatives, manage risk in real time, and continuously evolve strategies and execution systems.

Qualifications

  • Minimum 1 year of experience in a quantitative trading firm.
  • Strong interest in markets, trading behaviour, and decision-making under uncertainty.
  • Proficiency in Python or C++, or willingness to learn.

Responsibilities

  • Trade options, futures, and derivatives with a medium-frequency approach.
  • Research and improve trading strategies using data and statistics.
  • Identify edge sources via pattern recognition and market microstructure.
  • Track live positions, respond to moves, and manage risk in real time.
  • Collaborate with developers and researchers to enhance systems.
  • Conduct post-trade analysis to evaluate performance.
  • Adapt quickly to volatility shifts and regime changes.

Skills

Analytical thinking
Quantitative reasoning
Python or C++
Decision making under pressure

Education

IITs or top-tier degrees

Tools

Backtesting platforms
Execution systems
Trading infrastructure

Job description

Job Summary

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 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 Were 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.

Location: Bangalore, Karnataka, India

Job Type: Full time

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