Trading Analytics Developer in Hong Kong

The Quant Trading team is responsible for trading and managing risks associated with different crypto products, including spots and derivatives. The team develops and implements trading strategies in fast-paced and complex trading environments. Job Responsibilities Data Platform & Analytics Design, build, and operate high throughput batch and streaming data pipelines using Kafka, Flink, and ETL technologies Design and build unified analytics engine designed for processing large-scale data using Apache Spark and related tools Develop and optimize analytical data models for time-series, financial metrics, and trading activity Implement and manage analytical databases (ClickHouse, MongoDB, BigQuery, Snowflake, or similar) with cost-aware architecture Build idempotent data pipelines with robust backfill and reconciliation capabilities Create comprehensive monitoring for data quality, freshness, and pipeline reliability AI Platform Development Design, build, and operate internal AI platforms serving multiple trading teams Build reusable AI tooling including standardized RAG pipelines, prompt management, and self-service workflows Create and maintain agent systems using modern frameworks (LangGraph, A2A, MCP) with focus on controllability and auditability Job Requirements Mandatory Foundations</str

Responsibilities Continuously improve the design and performance of our automated trading system, including exchange connectivity, derivatives pricing model, order and risk management system. Implementing trading strategies which are highly adjustable in live trading and easy to integrate with backtesting system. Work closely with other teams to automate trading/reconcile/analytics workflow. Provide technical support for trading system Requirements 5+ years of working experience with C++. Thorough understanding of C++ memory model, concurrency, meta-programming and best practices. Experience with network programming using TCP, Websocket Experience with Boost, ZeroMQ, MongoDB, Protobuffer Experience with optimisation using modern SIMD instrument set or GPU programming is a plus

Job Responsibilities A highly collaborative, fast-growing team, Point72 Internal Alpha Capture (IAC) is developing scalable quantitative equity trading signals that leverage rigorous research, state-of-the-art machine learning methods, a broad range of public and proprietary data sources, and unparalleled computing power. You will gain exposure to a variety of activities, which may include: Developing automated equities trading applications and real-time analytics Optimizing data ETL pipelines, persistent / in-memory caches and SQL databases Work alongside quant researchers developing quant signals. Improving signal research and trading tools infrastructure Desirable Candidates Undergraduate or higher degree in computer science, machine learning, or other quantitative discipline 5+ years of experience at a hedge fund, major investment bank, or quantitative trading firm Strong programming experience in Python with production-level coding quality Experience with containerization and orchestration technologies, particularly Docker Experience with Unix environment and shell scripting Knowledge of profiling (e.g. VisualVM, async-profiler) and code optimization is a plus Knowledge of statistics and machine learning is a plus Willing to take ownership of his/her work, working both independently and within a small team Prior experience in the financial services industry is a plus Commitment to the highest ethical standards

JOB RESPONSIBILITIES A highly collaborative, fast-growing team, Point72 Internal Alpha Capture (IAC) is developing scalable quantitative equity trading signals that leverage rigorous research, state-of-the-art machine learning methods, a broad range of public and proprietary data sources, and unparalleled computing power. You will gain exposure to a variety of activities, which may include: Developing automated equities trading applications and real-time analytics Optimizing data ETL pipelines, persistent / in-memory caches and SQL databases Work alongside quant researchers developing quant signals. Improving signal research and trading tools infrastructure DESIRABLE CANDIDATES Undergraduate or higher degree in computer science, machine learning, or other quantitative discipline 5+ years of experience at a hedge fund, major investment bank, or quantitative trading firm Strong programming experience in Python with production-level coding quality Experience with containerization and orchestration technologies, particularly Docker Experience with Unix environment and shell scripting Knowledge of profiling (e.g. VisualVM, async-profiler) and code optimization is a plus Knowledge of statistics and machine learning is a plus Willing to take ownership of his/her work, working both independently and within a small team Prior experience in the financial services industry is a plus Commitment to the highest ethical standards

About Cubist: Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. Role: Cubist is looking for a support engineer/quantitative developer who will work on a growing L2/L3 support team for quantitative trading systems, high‑frequency trading infrastructure, real time analytics, and research infrastructure. This role will require close collaboration with multiple teams at Cubist, including multiple Portfolio Manager (PM) teams, Central Research Technology, and Execution Services. The role offers career growth through the opportunity to work on the development of the underlying systems. Role/Responsibilities: Troubleshooting/resolution of quantitative trading systems and other live analytics processes System monitoring, including development of better processes and tools New feature development in Python/C++ Configuration and change management Onboarding assistance Requirements: 2+ years of professional support and/or software engineering experience Experience with trading systems support (co-located low-latency systems a strong plus) Fluency with C++, Python and SQL Familiarity with software delivery lifecycle and production deployment Cloud experience is a strong plus T

We are seeking a highly analytical and technical professional to spearhead the evolution of our trading infrastructure. This hybrid role combines the fast-paced execution of a Trading Operations Specialist, the analytical rigor of a Risk Manager, and the technical capabilities of an AI-focused Developer. The successful candidate will not only manage daily operational workflows and risk monitoring but will also lead the digital transformation of these functions. You will leverage Large Language Models (LLMs), machine learning, and advanced scripting to automate legacy manual processes, improve predictive risk modeling, and build real-time performance visualization tools and analyses. Key Responsibilities: 1. Trading Operations and Performance Analysis with AI Manage the end-to-end lifecycle of trades across multi-asset classes. Develop agentic AI workflows using Python (ML) and MLOps tools to automate manual operations and reconciliations Perform daily P&L attribution and explain variance by decomposing market moves, Greeks, and new activity. Leverage AI/ML frameworks (e.g., OpenAI API, LangChain, or local LLMs) to build intelligent agents for anomaly detection in trade data and automated commentary generation for P&L reports. Ensure data integrity across trading systems, middle-office platforms, and downstream finance ledgers. Use AI tools to build

We are looking for a Senior Associate/ Director in Trading Desk Operations to join our Trading Team. You will help on the operational side of the trading desk, supporting trading and funding operations and streamlining processes to support the growth of our Trading business. You will gain an in-depth understanding of the trade life cycle for the particular trading desk you will support. Responsibilities: Provide dedicated end-to-end trade support to assigned trading desks, perform trade bookings, trade verifications, balance and position reconciliations, P&L attributions Troubleshoot operational bottlenecks, delays, and other problems presented throughout the trade life cycle Using coding and AI tools, develop and enhance booking and reconciliation procedures Real-time monitoring and escalation on risk positions against internal thresholds and develop new monitoring tools for the desk Develop standardized templates and playbooks for new product onboarding (booking models, reconciliation rules, account setup) to reduce time-to-market Set up of new accounts and trading books, maintain data integrity and data mapping Perform funding operations and settlement checks, investigate and resolve fund transfer issues, liaising internally with Treasury or with external brokers Monitor funding usage, ROI and manage internal capital d

The Trading team develops and operates quantitative trading strategies across prediction markets, equity markets, and crypto markets . We are looking for a Trading Operations & Support Analyst to support live systematic trading, ensure smooth day-to-day operations, and help improve the reliability and efficiency of our trading systems and processes. Responsibilities: Monitor live trading systems, strategies, orders, positions, P&L, and risk. Act as the first line of support for trading, execution, exchange connectivity, and production issues. Investigate and resolve order, position, P&L, reconciliation, and trading-system exceptions. Coordinate with traders, quantitative developers, exchanges, brokers, and other counterparties to resolve live trading issues. Support strategy deployments, system releases, testing, and production changes. Monitor exchange and market events, outages, connectivity issues, and other operational risks. Analyze trading and operational metrics to identify issues and improve processes. Develop tools and automation to improve monitoring, reconciliation, reporting, and trading operations. Maintain operational procedures and controls for production trading. Participate in local trading coverage and rotating weekend coverage. Requirements: 3+ yea

The Trading team develops and operates quantitative trading strategies across prediction markets, equity markets, and crypto markets, including spot and derivatives. We are looking for an experienced Systematic Trader to develop, operate, and continuously improve systematic strategies in fast-moving electronic markets. Responsibilities: Operate and manage systematic trading strategies and frameworks across prediction markets, equities, and crypto, including spot, perpetuals, futures, options, and other derivatives. Monitor live trading, P&L, positions, risk, and execution performance. Research, backtest, deploy, and improve systematic trading strategies. Identify new trading opportunities across markets, products, exchanges, and venues. Analyze strategy and execution performance, including fills, slippage, adverse selection, transaction costs, and latency. Optimize strategy parameters, position sizing, execution, and risk controls. Work closely with quantitative developers and researchers to implement new strategies and improve trading systems. Participate in local trading coverage and rotating weekend coverage. Requirements: 4+ years of experience in systematic, quantitative, electronic, proprietary, or market-making trading. Demonstrated experience developing, operating, or improving profitable trading strategies. Strong understanding of market microstru

You will sit in the Corporate Development team, working directly with senior management on product analysis, investment and strategic partnerships globally for the Company. Responsibilities: Build the analytical backbone for senior management decisions: business cases, market and competitor intelligence, and build-vs-buy-vs-partner comparisons Identify strategic and financial investment opportunities and conduct due diligence on them Ongoing support of the Company's portfolio companies Originate, structure and help execute strategic partnerships and commercial arrangements Develop and defend a view on where crypto product is heading: trading venues and DeFi/on-chain, RWA and tokenization, prediction markets, stablecoins and payments, AI x crypto etc. and translate that view into concrete opportunities for the business Prepare materials for senior professionals to use in management discussions, client meetings and the firm's engagement with institutional investors Manage ongoing relationships with potential partners across crypto and traditional finance sectors Use AI tooling to compress the manual layer of the role: screening, data pulls, first-draft memos, portfolio and partner monitoring, recurring reporting, and convert one-off analyses into repeatable workflows the wider team can run Overall operational support with regards to daily operation nand internal updates

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. Binance is trusted by more than 320 million people in 100+ countries for its industry-leading security, transparency, trading engine speed, protections for investors, and unmatched portfolio of digital asset products and offerings from trading and finance to education, research, social good, payments, institutional services, and Web3 features. Binance is devoted to building an inclusive crypto ecosystem to increase the freedom of money and financial access for people around the world with crypto as the fundamental means. About Binance Accelerator Program Binance Accelerator Program (BAP) is a 3-6 month internship program designed for Early Career talent to have firsthand experience in the rapidly expanding digital assets space. You will be given the opportunity to develop your skills at Binance and understand what it’s like to work at the world's leading blockchain ecosystem. As part of your internship in the BAP, there will also be opportunities for networking and development, which will expand your professional network and build transferable skills to propel you forward in your career. Learn about the BAP Program HERE. Who may apply Current university students and recent graduates. *Terms of employment / engagement shall be subject to contract and local applicable laws Responsibilities Support the Product Manager in day-to-day

We are looking for a commercially curious and execution-focused Trading Initiatives & Business Manager to join our Trading team. This is a hands-on, high-visibility role for an ambitious professional who wants to be at the forefront of new trading strategies and financial instruments across crypto, TradFi, and prediction markets. You will support and drive the delivery of new trading initiatives — from initial research and feasibility through to go-live — while leveraging AI tools to accelerate competitor analysis, research workflows, and project tracking. This role offers significant exposure to traders, cross-divisional teams and external partners across exchanges, brokers, and venues globally. Responsibilities: New Trading Initiatives Evaluate new trading opportunities and strategies across multi-asset classes and new markets, apply AI-assisted research workflow to conduct market sizing, requirement analysis, pricing and risk analysis, providing insights from Trading perspective Leverage AI tools to conduct competitor analysis — tracking competitor strategies, new instrument launches, exchange activity, and market positioning Oversee the listings of new prediction markets contracts, tokens and coins from Trading perspective, coordinating with product, risk, operations, and tech teams. Maintain a rolling pipeline and prioritised roadmap of new trading initiatives. Project & Pro

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world. Role Overview Responsible for end-to-end quality assurance across Web and App (mobile) surfaces — combining automated and exploratory testing to ensure product stability, compatibility, and interaction experience from the user's perspective. The core requirement is cross-platform testing capability (Web + App), with the ability to design and maintain an automated testing system and to think deeply about troubleshooting and user-experience-oriented quality. In one sentence: This role is the quality gatekeeper for Web/App products — someone who can write automation scripts, test interaction experiences, investigate data issues, and use engineering methods to replace manual testing with systematic automated quality coverage. Not a manual tester — a QA engineer with real coding ability. Key Responsibilities Design and m

ABOUT CUBIST Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. ROLE The candidate will be responsible for some or all of parts of the research pipeline—including data processing, feature design, model training, portfolio construction and management, back-testing, and performance analysis. Successful researchers combine statistical analysis, machine learning techniques, intense passion, and curiosity to decipher the market, and aspire to gain great intellectual understanding and financial outperformance. RESPONSIBILITIES Finding alphas in global equity markets by applying rigorous statistical analysis on technical data or alternative data sets. Performing hypotheses testing, feature design, and backtesting to improve on alpha ideas. Maintaining and improving the research pipeline, including alpha generation, portfolio construction, back-testing, and monetization. Maintaining and improving portfolio trading in production environments. REQUIREMENTS Bachelors degree or higher in mathematics, statistics, computer science, or other quantitative discipline. 2+ years of experience in quantitative research. Experience in medium frequency equity research is a plus. Str

The Trading Infrastructure team is building a high-performance, front-to-back Trading Platform that supports multi-asset trading. The platform is designed to handle financial instruments with low-latency execution, robust risk controls, and seamless integration across trading, risk, operations, and finance workflows. The system is built with a modular architecture encompassing core components such as market data feeds, order gateways, execution algorithms, risk engines, UI dashboards, middle office reconciliation, and account infrastructure. We emphasize event-driven, deterministic system design, real-time observability, and strong security. Our tech stack includes Java (low-latency), Python, Web UI (React/Ag-Grid), Aeron, ClickHouse, Kubernetes, and modern CI/CD tooling, with a strong focus on automation, scalability, and performance. AI-assisted development tools are also leveraged to boost productivity and quality across the team. Responsibilities Design, provision, and maintain scalable infrastructure for our trading systems, including CI/CD pipelines, observability stack, and runtime environments. Administer and tune databases such as AWS Aurora, PostgreSQL, and ClickHouse. Automate provisioning and configuration of EC2 and related resources using Ansible and other infrastructure-as-code tools (e.g., Terraform). Ensure secure, stable environments through proper VPC design, IAM governance, and secret management. Build and maint