Financial Quant - Fresher

Quantitative Research Lead /

Position:

Compensation:

About Us

quantitative trading and research startup

quant stack from the ground up

be the first quant hire

Role Overview

Quantitative Researcher / Quant Developer

• Build the

  research and execution framework

  from scratch.
• Design and backtest

  systematic trading models

  .
• Develop

  real-time trading bots

  using broker APIs (e.g., Interactive Brokers).
• Implement

  statistical, ML, and time-series models

  for signal generation.
• Optimize for

  latency, execution cost, and risk-adjusted returns

  .
• Ensure

  backtests replicate accurately in live trading

  .

• Bring an

  entrepreneurial mindset

  take ownership, solve problems independently, and thrive in a startup environment.

Key Responsibilities

• Set up the

  quant research stack

  (data ingestion, feature engineering, model testing).
• Develop

  risk models, execution of stock trading algorithms (Algo), and monitoring systems

  .
• Maintain accurate

  logs, PnL tracking, and strategy metrics

  .
• Collaborate on

  new research in market inefficiencies and ML-based models

  .

Required Skills

• Strong

  Python programming

  (NumPy, pandas, vectorized ops).
• Solid foundation in

  statistics, probability, and time-series analysis

  .
• Experience with

  backtesting frameworks

  and APIs (Interactive Brokers preferred).
• Knowledge of

  PnL, slippage, risk-reward, profit factor

  .
• Ability to write

  clean, production-ready code

  .

Preferred Qualifications

• Degree in

  Math, Stats, CS, or Quantitative Finance

  (IIT, IISc, ISI, NIT, BITS, IIIT, CMI, DSE, Ashoka, or global equivalents).
• Experience in

  machine learning, data mining, or competitive programming

  .
• Participation in

  Kaggle, Codeforces, or similar competitions

  .
• Exposure to

  cloud platforms (AWS, GCP)

  and containerization (Docker, Kubernetes).

• Familiarity with

  stock markets

  or

  trading concepts

  (PnL, order execution, market data) is a plus but not required.

What We Offer

• Competitive

  base salary

  .

• Profit-sharing (7 - 10%)

  on net profits from deployed strategies.
• Opportunity to

  build systems from scratch

  with

  full ownership of your models

  .

• Direct exposure to US markets

  and institutional-grade data.
• Flat structure, close mentorship, and

  fast-track growth

  .

Selection Process

• Quantitative & Coding Assessment

  (Math, ML, Python, Time-Series).

• Technical interviews

  with founding team.