Freedx
3 weeks ago Be among the first 25 applicants
We're looking for a smart, curious, and analytical junior researcher to join our trading team. If you enjoy working with Python, exploring market data, and turning numbers into insights, this role will give you hands‑on experience in real‑world trading environments and market‑making research.
About Freedx Freedx is a newly established cryptocurrency exchange dedicated to delivering a seamless, secure, and innovative trading experience. Built by a team of seasoned professionals from the crypto, finance, and technology sectors, we are united by a shared passion for shaping the future of digital finance. Our vision is to become the most trusted and reliable exchange, empowering users with the freedom to manage their digital assets confidently and efficiently. Security, transparency, and scalability are at the core of everything we do. We continuously innovate to meet the evolving needs of traders, offering cutting‑edge tools and services that help our clients achieve their financial goals. Join us as we redefine the standards of digital asset trading and bring true freedom and reliability to the crypto world.
What You Will Do
Market Data Analysis
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
Statistical Modelling
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
Machine Learning Research
Apply ML methods to orderbook features and short‑horizon price prediction
Evaluate models for stability, latency impact, and overfitting risks
Algorithm Analysis
Test hypotheses and ideas from traders
Structure your findings into models that can feed into production strategies
Backtesting & Simulation
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
Who You Are
You love solving analytical problems
You enjoy exploring datasets and finding patterns
You learn quickly and take ownership of your work
You're excited to grow into trading research and quantitative modelling
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
Job Details
Seniority level: Associate
Employment type: Full‑time
Job function: Other
Industries: IT Services and IT Consulting
#J-18808-Ljbffr
We're looking for a smart, curious, and analytical junior researcher to join our trading team. If you enjoy working with Python, exploring market data, and turning numbers into insights, this role will give you hands‑on experience in real‑world trading environments and market‑making research.
About Freedx Freedx is a newly established cryptocurrency exchange dedicated to delivering a seamless, secure, and innovative trading experience. Built by a team of seasoned professionals from the crypto, finance, and technology sectors, we are united by a shared passion for shaping the future of digital finance. Our vision is to become the most trusted and reliable exchange, empowering users with the freedom to manage their digital assets confidently and efficiently. Security, transparency, and scalability are at the core of everything we do. We continuously innovate to meet the evolving needs of traders, offering cutting‑edge tools and services that help our clients achieve their financial goals. Join us as we redefine the standards of digital asset trading and bring true freedom and reliability to the crypto world.
What You Will Do
Market Data Analysis
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
Statistical Modelling
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
Machine Learning Research
Apply ML methods to orderbook features and short‑horizon price prediction
Evaluate models for stability, latency impact, and overfitting risks
Algorithm Analysis
Test hypotheses and ideas from traders
Structure your findings into models that can feed into production strategies
Backtesting & Simulation
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
Who You Are
You love solving analytical problems
You enjoy exploring datasets and finding patterns
You learn quickly and take ownership of your work
You're excited to grow into trading research and quantitative modelling
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
Job Details
Seniority level: Associate
Employment type: Full‑time
Job function: Other
Industries: IT Services and IT Consulting
#J-18808-Ljbffr