Job Description

:

Developing models: Building and improving mathematical models for trading, forecasting, or data processing

Conducting research: Analysing large datasets to identify trends and insights, and conducting research on financial markets and economic conditions

Coding Skills: Strong Coding Skills in Python and other languages

Using unconventional data: Using unconventional data sources to drive innovation

Translating algorithms: Translating mathematical models into algorithms

Managing Risk: Building Mathematical Models t help manage risk of a product or strategy

Predictive Modelling: Building Predictive Model based on historical data on Monte Carlo Modelling

Pseudo Code: Capability to write Pseudo Code and Python Code to test a mathematical model

Systems: Good understanding of the Trading Systems and trade execution process to limit latency and slippages

Market Understanding: Good comprehension of the Financial and Capital Markets

Other Skills:

Oversee the development and implementation of investment strategies using mathematical and statistical tools

Good knowledge of AI, ML and LLMs to use the advanced technologies for efficiency and productivity

Proven skills of exhibiting usage of data sciences, maths or statistics in development or improvement of Investment Strategies

Compliance and Risk Management:

Ensure the firm's practices comply with SEBI regulations and other relevant legal requirements.

Identify mathematical and Statistical models for Risk Management of strategies and products

Implement and monitor internal controls to manage and mitigate risks effectively.

Qualifications:

Bachelor's degree in Maths, Master Preferred or Pursuing PhD in Maths

Relevant experience in mathematics, statistics, computer science, or finance preferred

Minimum of 3-5 years of experience in building Mathematical modelling and Data Sciences

Proven ability to develop and execute mathematical models in live market strategies

High ethical standards and a commitment to acting in clients' best interests.

Job Type: Full-time

Benefits:

Food provided Paid sick time Paid time off
Schedule:

Monday to Friday
Work Location: In person

Expected Start Date: 26/05/2025