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Quantitative Researcher – MFT

🕒 September 24

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

✨ Researcher

Where this job comes from

Posted on Delta Exchange's careers page, not through a job board

First seen by Remote Rocketship September 24

Still open on Delta Exchange's site. Checked 12 hours ago.

Logo of Delta Exchange

Delta Exchange

51 - 200 employees

Founded 2018

₿ Crypto

💳 Fintech

🏪 Marketplace

💰 $5M Initial Coin Offering - Delta Exchange on 2021-03

Crypto • Fintech • Marketplace

Delta Exchange is a crypto derivatives exchange offering futures and options trading for major cryptocurrencies such as Bitcoin and Ether. It provides 24/7 markets with efficient margining, INR-denominated margin and P/L, and INR deposit/withdrawal and settlement, allowing users in India to trade crypto derivatives without owning the underlying assets. The platform is registered with the FIU (Government of India) and presents features like an algo marketplace, token listings including RWA tokens, and pro trading tools optimized for mobile and web.

📋 Description

• 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

• 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. • 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

• 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.

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