Quantitative Researcher/Trader

Starshine Future; Hong Kong; Presencial; HKD 600 000 - 1 000 000; Tempo integral

Resumo da oferta

Starshine Future is a premier quantitative trading firm and investment manager focusing on digital assets. We seek quantitative researchers, traders, and portfolio managers to leverage rich data architectures and low-latency execution to capture alpha in global digital asset markets.

Applicants should have 2+ years in crypto quantitative research or related fields, fluency in Mandarin and English, and strong Python skills with foundations in statistics and time-series analysis.

Qualificações

• 2+ years in crypto quantitative research or related fields.
• Experience deploying and validating systematic strategies.
• Live trading track record (preferred for senior/PM).

Responsabilidades

• Conduct quantitative research on macro transmission into digital assets.
• Analyze crypto derivatives positioning to build market regimes and signals.
• Research high-frequency market microstructure using order book and tick data.
• Develop real-time signals based on OFI and market impact.
• Build low-latency risk models for execution and hedging.
• Deploy systematic arbitrage strategies across major venues.
• Lead end-to-end validation, migration, deployment, and live management of strategies.
• Take ownership of live P&L, portfolio construction, and drawdown controls.

Conhecimentos

Python

Statistics

Time-series analysis

Mandarin

English

Ferramentas

C++

Rust

Go

Descrição da oferta de emprego

We are a premier quantitative trading firm and investment manager specializing in digital assets, backed by substantial proprietary capital and institutional-grade trading infrastructure. We are seeking talented Quantitative Researchers, Traders, and Portfolio Managers to join our team. Whether your expertise lies in macro positioning, high-frequency market microstructure, cross-venue arbitrage, or running mature systematic strategies, you will leverage our extensive data architecture and low-latency execution systems to capture alpha in global digital asset markets.

Key Responsibilities (Candidates will focus on one or more of the following areas):

• Conduct quantitative research on the transmission of macro variables (interest rates, Fed policy, Treasury yields, USD, liquidity, ETF/stablecoin flows) into digital assets.
• Analyze crypto derivatives positioning (Open Interest, Funding rates, Basis, Liquidations, Options IV/Skew) to build models for market regimes, crowding, squeeze risks, tail risk, and short-to-medium term directional signals/cross-sectional factor strategies.
• Research high-frequency market microstructure using L2/L3 order book, tick trade, quote, and cancellation data.
• Develop real-time signals based on Order Flow Imbalance (OFI), trade imbalance, depth depletion, market impact, and adverse selection.
• Build low-latency risk models for dynamic quoting, spread adjustment, inventory skew, hedge urgency, and kill-switch execution.
• Research and deploy systematic arbitrage strategies across key venues (Binance, OKX, Bybit, Deribit, Hyperliquid, etc.).
• Focus on funding rate arbitrage, spot-perp carry, futures spreads, cross-venue relative value, and execution-driven arbitrage.
• Model funding dynamics, basis convergence, transaction fees, slippage, market impact, and capital efficiency.
• Lead the end-to-end validation, migration, deployment, and live management of mature, proven quantitative strategies.
• Take full ownership of live P&L, portfolio construction, capacity management, execution quality, and drawdown controls.

Requirements:

• Experience: 2+ years of professional experience in crypto quantitative research, systematic crypto trading, crypto market making, or digital-asset derivatives trading.
• Languages: Native or fluent in Mandarin; proficiency in professional English.
• Technical Skills: Strong proficiency in Python with solid foundations in statistics, probability, and time-series analysis. Proficiency in C++, Rust, or Go is a strong plus.
• Domain Knowledge: Deep understanding of crypto market mechanics (perpetuals, futures, options, funding rates, basis, limit order book dynamics, margin, and liquidation risks).
• Preferred Qualifications:
• Hands-on experience with ML/statistical models (LightGBM/XGBoost, HMM/HSMM, time-series analysis) in quantitative setups.
• Experience handling high-frequency data from major crypto exchanges (e.g., Binance, OKX, Bybit, Deribit, Hyperliquid).
• Verifiable live trading track record (for senior/PM candidates).