Quantitative Trader - MFT
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.