Python Trading Research Analyst

🕒 April 14

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

FreedX

WebsiteLinkedInAll Job Openings

11 - 50 employees

₿ Crypto

💸 Finance

💳 Fintech

Crypto • Finance • Fintech

FreedX is a company preparing for its launch in the digital asset sector, offering opportunities to engage with the emerging product. They are focused on the cryptocurrency space, providing updates, rewards, and a platform to explore digital asset management and exchange. FreedX seems to be building a platform or service around the crypto market and is actively recruiting talent to join their early team.

📋 Description

• Analyze orderbook data: spreads, depth, liquidity layers. • Study market microstructure (order flow, volatility patterns). • Examine how markets behave across different volatility regimes. • Research basis, funding, contango/backwardation, cross-exchange deviations. • Build basic statistical models to detect regime shifts and volatility clusters. • Explore relationships between features and realized PnL. • Develop simple metrics to evaluate market quality and liquidity. • Apply ML methods to orderbook features and short-horizon price prediction. • Evaluate models for stability, latency impact, and overfitting risks. • Test hypotheses and ideas from traders. • Structure findings into models that can feed into production strategies. • Build lightweight simulation environments for MM and directional strategies. • Test strategy variations under different market assumptions. • Model hedging effectiveness across exchanges/instruments. • Run scenario-based stress tests (vol spikes, price dislocations, liquidity dry-ups).

🎯 Requirements

• Strong proficiency in Python, especially **pandas**, **numpy**, **scipy**, **sklearn**, **statsmodels**. • Understanding of machine learning techniques for time series or microstructure-style data. • Solid foundation in statistics: distributions, variance, regressions, probability. • Experience building models for prediction, classification, or clustering (projects, coursework, or work experience). • **Nice to Have** • Experience with deep learning for timeseries (PyTorch or TensorFlow). • Knowledge of PostgreSQL/TimescaleDB for large dataset queries. • Experience analyzing tick-level or Level 2 data from Binance/KuCoin/Bybit/etc. • Exposure to crypto markets or market-making concepts.

🏖️ Benefits

• Remote-first flexibility. • Flexible payment options - choose to be paid in traditional currency (USD) or cryptocurrency (USDT / USDC). • Exposure to real trading strategies and decision-making. • Continuous mentorship from experienced quants and traders. • Work on high-impact, low-latency trading infrastructure used across global crypto markets. • Opportunity to grow as we scale rapidly across markets and product lines.