Quantitative Researcher - MFT

Posted 6 Days Ago
Be an Early Applicant
Hiring Remotely in India
Remote
Senior level
Artificial Intelligence • Blockchain • Fintech • Software • Financial Services • Cryptocurrency
The Role
Develop quantitative models for cryptocurrency derivatives and spot markets, conduct statistical and econometric analysis, build pricing and risk models, and backtest systematic trading strategies. Collaborate with trading and product teams to validate and deploy models, monitor performance, analyze high-frequency data, and communicate research insights to leadership and trading desks.
Summary Generated by Built In

About Delta Exchange:
Delta Exchange is a leading digital asset derivatives exchange founded in 2018. Backed by renowned investors, Delta offers high-performance trading in Bitcoin, Ethereum, and other altcoins, providing futures, options, and innovative derivatives products with up to 100x leverage. With enterprise-grade security, deep liquidity, and an institutional-grade platform, Delta Exchange serves both retail and institutional clients, accelerating the evolution of the global cryptocurrency financial system.
Position Overview:
Delta Exchange seeks a Quantitative Research Analyst to develop advanced models, analyze crypto markets, and generate insights powering trading strategies and risk management in derivatives. Ideal candidates offer 5-8 years in quantitative research expertise in statistics, time-series analysis, Python/R, and passion for crypto. Join our growing team to drive alpha in volatile markets through backtesting, model deployment, and cross-team collaboration.
Key Responsibilities
● Research and develop quantitative models to identify trading opportunities in crypto derivatives and spot markets.
● Conduct statistical and econometric analysis on large, complex financial datasets.
● Build and maintain pricing, risk, and forecasting models for derivatives products.
● Work closely with the trading and product teams to test, validate, and implement models in production.
● Leverage programming and data science tools to design and backtest systematic trading strategies.
● Monitor and improve existing models for performance, robustness, and market adaptability.
● Prepare research reports and communicate insights effectively to leadership and trading desks.


Requirements

Requirements
● 5–8 years of experience in quantitative research, trading, financial engineering, or a related role.
● Strong foundation in statistics, probability, econometrics, and financial mathematics.
● Proficiency in Python, R, or MATLAB; SQL and big data familiarity is a plus.
● Experience in time-series analysis, stochastic modelling, or machine learning for financial applications.
● Understanding of derivatives pricing (options, futures, swaps) and risk metrics like VaR, Greeks, etc.
● Ability to work with large, high-frequency datasets and extract meaningful insights.
● Excellent communication skills to explain technical concepts to non-technical stakeholders.
● Degree in Quantitative Finance, Mathematics, Statistics, Computer Science, or Engineering, advanced degrees (MSc/PhD) are a plus.
Desirable Skills
● Prior experience in crypto or digital assets.
● Exposure to algorithmic trading systems and execution strategies.
● Familiarity with C++ or Java for performance-heavy model implementations.
● Knowledge of global financial markets and macroeconomic indicators.


Benefits

What We Offer
● Collaborative remote work environment that allows you to have a work life balance.
● Growth framework that drives fast, continuous improvement
● Opportunity to learn and collaborate with the leadership team.
● Exciting team offsites and employee engagement activities.
● Competitive compensation and exposure to closely with teams.

Skills Required

  • 5-8 years of experience in quantitative research, trading, financial engineering, or a related role
  • Strong foundation in statistics, probability, econometrics, and financial mathematics
  • Proficiency in Python, R, or MATLAB
  • Experience with time-series analysis, stochastic modeling, or machine learning for financial applications
  • Understanding of derivatives pricing, including options, futures, and swaps
  • Knowledge of risk metrics such as VaR and Greeks
  • Ability to work with large, high-frequency datasets and extract meaningful insights
  • Excellent communication skills for explaining technical concepts to non-technical stakeholders
  • Degree in Quantitative Finance, Mathematics, Statistics, Computer Science, or Engineering
  • Advanced degree such as an MSc or PhD
  • SQL and big data familiarity
  • Prior experience in cryptocurrency or digital assets
  • Exposure to algorithmic trading systems and execution strategies
  • Familiarity with C++ or Java for performance-heavy model implementations
  • Knowledge of global financial markets and macroeconomic indicators
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The Company
HQ: Kingstown
138 Employees
Year Founded: 2018

What We Do

Delta Exchange is a high-performance digital asset derivatives exchange. Founded in 2018, Delta is backed by marquee investors like Aave, Kyber Network, SinoGlobal Capital, QCP, LuneX, Gumi Cryptos, BR Capital, CoinFund and more. Delta offers Futures, Perpetuals & Options trading across Bitcoin and leading Altcoins with up to 100x leverage. Delta also has a suite of innovative product offering like Interest Rate Swaps, Calendar Spreads, Turbo Options and Robo Trading Strategies. Our mission is to accelerate the advancement of the cryptocurrency financial system by building a highly-liquid and trusted derivatives trading platform developed to serve both retail and institutional traders. With a powerful matching engine, an intuitive interface, advanced order types and lightning-fast APIs, Delta provides access to an institutional-grade trading platform built for the digital asset markets.

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