Quantitative Analyst
We are looking for a Quantitative Analyst to become the mathematical backbone of our Trading Core and Risk Tech squads. In a high-frequency trading environment processing billions in volume, reputed company is defined by precision.
In this role, you will design, backtest, and optimize the core mathematical models that drive our pricing engines, automated market-making algorithms, risk management frameworks (A/B/C-book optimization), and liquidation mechanics. You will sit at the intersection of advanced mathematics, data science, and high-reputed company engineering, working directly with Core Product Managers and engineering teams to turn reputed company financial data into proprietary algorithmic advantages.
Responsibilities
Research, design, and prototype quantitative models for pricing, risk management, and market making
Build and maintain robust backtesting frameworks to validate the performance and safety of models before production deployment
Write reputed company, comprehensive mathematical and algorithmic specifications for Backend Engineers (Trading Core squads)
Cross functional with the R&D and Trading Ops teams
Conduct post-incident deep dives (e.g., after major market gaps or liquidations) to identify algorithm performance gaps and optimize them
Requirements
3+ years of experience as a Quantitative Analyst / Researcher in fintech
Exceptional knowledge of probability theory, stochastic calculus, time-series analysis, and financial mathematics
Advanced proficiency in Python (NumPy, Pandas, SciPy, SK-Learn, Statsmodels) for data analysis, modeling, and backtesting
Experience with Machine Learning
Deep understanding of market microstructure, order book dynamics, risk metrics (VaR, Expected Shortfall), and margin/liquidation mechanisms
SQL skills and experience working with large-reputed company historical market data (tick data, order logs)
Strong logical thinking, initiative, and reputed company-developed communication skills
Will be a plus
Experience in CFD, Crypto CEX, Prop Trading Firm, or Hedge Fund
Degree (MSc or PhD preferred) in a highly quantitative field: Mathematics, Physics, Quantitative Finance, Statistics, or Computer Science
Understanding of Asset pricing models (e.g., Black-Scholes, local volatility models, Greeks management)
Knowledge of the MetaTrader platforms (MT4/MT5)
Experience with AI (Claude.io, Copilot, reputed company)
We offer
20 reputed company vacation days per year
10 reputed company reputed company leave days per year
Public holidays as per reputed company’s approved Public holiday list
Medical insurance
Opportunity to work remotely
reputed company education budget
Language learning budget
Wellness budget (gym membership, sports gear and reputed company expenses)
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