Quantitative Research Analyst

Join a Leading Investment Bank as a Quantitative Researcher – Drive Innovation in Financial Markets!

Job Description-

Key Responsibilities-

• Research, design, and implement

  market making algorithms

  for FX Forwards and Swaps.
• Develop

  statistical and machine learning models

  to optimize execution strategy, manage inventory, and reduce market impact.
• Monitor algorithmic performance, run

  A/B tests

  , and continuously refine models based on market conditions and feedback.
• Collaborate with traders, technologists, and global SM&D counterparts to drive strategy development aligned with market structure and regulatory frameworks.
• Ensure robust

  model governance and validation standards

  are followed in line with internal control policies.
• Leverage

  real-time analytics

  to detect inefficiencies and enhance trading performance.

Experience & Education

• 2–4 years of hands-on experience

  in

  electronic or systematic trading

  roles, preferably in investment banks, proprietary trading firms, or hedge funds.
• Prior exposure to

  FX asset classes

  is preferred but not mandatory if other asset-class experience is strong.
• Bachelor’s or Master’s degree in

  Computer Science, Mathematics, Electrical Engineering

  , or a related quantitative field.
• Preference for candidates from

  Tier I institutions only IIT's

  – particularly

  older IITs

  .

Technical Skills

• Strong programming expertise in

  Python and/or C++

  .
• Proficiency in

  statistical modelling

  ,

  time series analysis

  , and

  machine learning frameworks

  (e.g., scikit-learn, XGBoost, TensorFlow).

1. Role Overview:

• Hiring for the

  second SM&D Quant role

  under the

  FX Electronic Trading team

  .
• This role will likely be aligned to

  hedging and execution modelling

  for

  FX Spot

  and/or

  FX Options

  .
• Responsibilities include developing models for

  pricing, execution, and hedging

  with a mix of

  maths and programming

  .

1. Candidate Profile:

• Experience:

  2–4 years, preferably from

  Tier I engineering institutes (IITs)

  .

• Technical Skills:

• Strong fundamentals in

  mathematical modelling

  , especially

  regression and time series techniques

  .
• Programming knowledge in

  Python, Java, or C++

  is essential.
• Basic understanding of

  market microstructure, algorithmic trading

  , and

  quantitative research

  .
• Prior exposure to

  FX asset classes

  (Spot or Options) is a plus but not mandatory.