Quantitative Analyst / Algorithmic

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Product

Our partner is a fast-growing algorithmic trading and fintech company with a proven track record of exceptional results. In 2023, they delivered annual returns of 60โ€“100%. Current AUM stands at $15M, with an additional $20M from a prominent Hong Kong-based fund in advanced discussions. Their proprietary platform processes up to 12,000 messages per second via WebSocket, generates ~4,000 trading signals annually (75% profitable), and operates across Binance and Bybit futures markets โ€” with active plans to scale further.
 

Main Responsibilities

โ€“ Develop and implement sophisticated algorithms for automated trading across financial markets
โ€“ Research and backtest new trading strategies using historical and real-time data
โ€“ Build mathematical and statistical models for risk assessment and market movement prediction
โ€“ Analyze and optimize existing strategies to improve performance and cost-effectiveness
โ€“ Collaborate closely with developers and engineers to integrate trading algorithms into the production system
โ€“ Conduct stress testing of strategies and adapt them to rapidly changing market conditions
โ€“ Monitor live trading performance, debug issues, and ensure strategy resilience
โ€“ Contribute to the development of a scalable, high-performance system architecture
 

Mandatory Requirements

Must have:

โ€“ 5+ years of experience in algorithmic trading, financial analysis, or quantitative modeling
โ€“ Deep understanding of financial markets, trading theories, and algo trading principles
โ€“ Strong expertise in probability theory, statistics, and mathematical modeling
โ€“ Proficiency in Python and/or Go; familiarity with Pandas, NumPy, scikit-learn
โ€“ Hands-on experience with live data feeds, exchange APIs, and financial platforms
โ€“ Proven ability to develop and test trading strategies using statistical methods

Nice to have:

โ€“ Experience with Binance, Bybit, or similar crypto exchanges
โ€“ Knowledge of HFT techniques and algorithm optimization
โ€“ Familiarity with ML methods for forecasting and classification
โ€“ Experience with distributed systems or high-performance computing; knowledge of Rust or C++
 

We offer

โ€“ Performance bonuses โ€” percentage of profits generated by your strategies + milestone incentives for development and optimization
โ€“ Professional development โ€” sponsorship for CFA/FRM/CQF certifications, access to industry conferences and internal training programs
โ€“ Cutting-edge tools โ€” high-performance servers, GPU clusters, proprietary backtesting infrastructure, premium datasets and APIs
โ€“ Flexible remote work โ€” fully remote to start, with a future office in Europe; flexible hours aligned with global markets
โ€“ Growth opportunity โ€” join at a pivotal stage of expansion: five major exchanges, U.S. market entry, $35โ€“40M capital raise in progress, and a sub-fund being established under a leading Hong Kong partner

Required languages

English B2 - Upper Intermediate
Python
Published 5 May
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4 applications
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