What You'll Be Doing
Alpha Research & Signal Development
- Conduct research to identify and develop alpha signals for crypto markets, focusing on delta-one instruments (spot, perpetuals, futures) and liquidity opportunities (e.g., CEX arbitrage, order book patterns, cross-market inefficiencies).
- Apply machine learning (supervised/unsupervised models, time-series forecasting, reinforcement learning basics) and statistical techniques to high-frequency, on-chain, and market data.
- Rapidly prototype ideas ("vibe coding") with AI agents, build backtests, run simulations, and perform walk-forward/out-of-sample testing to evaluate strategy potential.
- Explore new datasets, engineer features, and iterate on models to improve performance and robustness.
Delta-One & Fiat Market Making
- Assist in developing and improving quantitative models for delta-one market making across spot, perpetuals, and futures — including inventory management, skew logic, and dynamic spread widening/tightening under varying market regimes.
- Research and prototype pricing models for fiat on/off-ramp and fiat-pegged instrument market making (e.g., USD/USDT, USD/USDC, fiat FX pairs on crypto venues), incorporating real-time liquidity, counterparty risk, and settlement latency into quoting logic.
- Analyze quote fill rates, adverse selection, and PnL attribution to continuously optimize market making parameters.
- Build tooling and dashboards to monitor live market making performance, including spread capture, inventory exposure, and hedging efficiency across venues.
- Collaborate with engineers to translate research-grade models into low-latency, production-ready strategies.
Collaboration & Research Pipeline
- Collaborate with senior researchers and engineers to refine ideas, improve research pipelines, and help transition strong signals into production strategies.
- Stay curious about crypto market microstructure, DeFi innovations, and emerging data sources — contributing fresh perspectives to the team.
What We Look For In You
- Bachelor's or Master's degree in a quantitative field: Mathematics, Physics, Computer Science, Statistics, Engineering, or related (top-tier university strongly preferred).
- Solid programming skills in Python (pandas, numpy, scikit-learn, PyTorch/TensorFlow/JAX a plus); enthusiasm for quick prototyping and clean, reproducible code.
- Strong foundation in probability, statistics, and/or machine learning; coursework/projects in time-series analysis, predictive modeling, or signal processing are highly valued.
- Interest in cryptocurrency markets, trading, or liquidity provision (personal projects, crypto trading bots, on-chain analysis, or relevant internships count as experience).
- Intellectual curiosity, strong problem-solving skills, and ability to learn fast in a dynamic, fast-paced environment.
- Good communication skills and eagerness to collaborate and present findings.
Nice-to-Haves
- Prior quant/crypto-related experience (e.g., internships, personal strategies, Kaggle competitions, GitHub repos with backtests).
- Familiarity with crypto CEX APIs, order book data, or tick data processing.
- Understanding of market making mechanics: spread decomposition, adverse selection, inventory risk, and hedging.
- Exposure to fiat/stablecoin markets, FX microstructure, or payment settlement flows.
- Exposure to Rust/C++ for performance-critical work (can learn on the job).
What We Offer
- Mentorship from experienced quants and engineers with backgrounds in top finance/tech/crypto firms.
- Access to rich proprietary crypto datasets, market data feeds, and high-performance research tools.
- Flexible frameworks for experimentation, backtesting, and ML workflows to accelerate your learning.
- Opportunity to own impactful research and see ideas influence real trading/liquidity outcomes.
- Highly competitive entry-level package with performance bonuses and crypto incentives.
职责描述
Alpha 研究与信号开发
- 针对加密货币市场开展研究，识别并开发 Alpha 信号，重点聚焦于 Delta-one 工具（现货、永续合约、期货）及流动性机会（如 CEX 套利、订单簿模式、跨市场低效）。
- 将机器学习（监督/无监督模型、时间序列预测、强化学习基础）与统计技术应用于高频、链上及市场数据分析。
- 借助 AI 工具快速原型化研究想法，构建回测系统、运行模拟，并通过滚动前向/样本外测试评估策略潜力。
- 探索新数据集，进行特征工程，持续迭代模型以提升性能与鲁棒性。
Delta-one 产品与法币做市
- 协助开发和优化针对现货、永续合约及期货的 Delta-one 做市量化模型，涵盖库存管理、报价偏移逻辑，以及在不同市场状态下的动态价差扩缩策略。
- 研究并原型化法币出入金及法币锚定工具做市的定价模型（如 USD/USDT、USD/USDC、加密交易所上的法币外汇对），将实时流动性、交易对手风险及结算延迟纳入报价逻辑。
- 分析报价成交率、逆向选择及盈亏归因，持续优化做市参数。
- 构建工具与监控面板，实时跟踪做市表现，包括价差捕获、库存敞口及跨交易所对冲效率。
- 与工程师协作，将研究级模型转化为低延迟、生产就绪的交易策略。
协作与研究流程
- 与高级研究员和工程师协作，打磨研究思路，完善研究流程，推动优质信号落地为生产策略。
- 保持对加密市场微观结构、DeFi 创新及新兴数据源的持续关注，为团队带来新鲜视角。
我们期待的候选人
- 数学、物理、计算机科学、统计学、工程学或相关定量领域的本科或硕士学历（顶尖院校优先）。
- 扎实的 Python 编程能力（pandas、numpy、scikit-learn，PyTorch/TensorFlow/JAX 为加分项）；热衷快速原型开发与规范、可复现的代码。
- 概率论、统计学和/或机器学习的坚实基础；时间序列分析、预测建模或信号处理相关课程与项目经历尤为重要。
- 对加密货币市场、交易或流动性提供有浓厚兴趣（个人项目、加密交易机器人、链上分析或相关实习经历均可）。
- 强烈的求知欲、出色的问题解决能力，以及在快节奏动态环境中快速学习的能力。
- 良好的沟通表达能力，积极主动的协作与成果展示意愿。
加分项
- 量化/加密相关经验（如实习、个人策略、Kaggle 竞赛、含回测的 GitHub 项目）。
- 熟悉加密货币 CEX API、订单簿数据或 Tick 数据处理。
- 了解做市机制：价差分解、逆向选择、库存风险与对冲。
- 具备法币/稳定币市场、外汇微观结构或支付结算流程相关知识。
- 了解 Rust/C++ 用于性能敏感型开发（可在职学习）。
我们提供
- 来自顶级金融/科技/加密机构背景的资深量化与工程师的导师指导。
- 丰富的专有加密数据集、市场数据源及高性能研究工具的访问权限。
- 灵活的实验、回测及机器学习工作流框架，加速个人成长。
- 主导有影响力研究的机会，亲眼见证自己的想法影响真实的交易与流动性结果。
- 高度具有竞争力的初级薪酬方案，含绩效奖金与加密激励。