Trading Systems Integration Engineer in Hong Kong

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 work: requirement gathering, documentation, and follow-up on feature delivery Assist with project management: track progress across design, engineering and QA, organize reviews, and keep stakeholders aligned Collect and analyze user feedback and community/on-chain signals around meme products, and turn insights into actionable product suggestions Help maintain PRDs, competitive analysis, product documentation and internal reporting Requirements Genuine meme e

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. About the Team The Identity & Security team owns the front door to Binance. We build and operate the registration, login, and account security experience used by every one of our 300M+ users — social login, OAuth and third-party authorization, multi-factor authentication, passkeys and FIDO2, device management, account activity, and account closure. We are currently building an in-house AI facial recognition security product for KYC verification and user safety, replacing our existing third-party vendor solution. This is a to-C product serving hundreds of millions of users, directly impacting account security and identity verification experience at scale. Our work sits where three forces meet: enormous scale, strict security and regulatory constraints, and the reality that one extra verification step can block an attacker or lock out a legitimate user. We ship across web, mobile mini programs, and in-app webviews, and we publish the shared authentication libraries and SDKs that the rest of Binance builds on. Responsibilities Design, develop, and maintain the login, registration, and account security applications across web and mobile clients Build the in-house AI facial recognition security product end to end — KYC verification, liveness detection, face matching — replacing the existing thi

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 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. Strong analytical and quantitative skills; solid knowledge in statistics, linear algebra, or machine learning. Proficiency in Python. Familiarity with scientific toolkits, such as Numpy and Pandas. Ability to work both independently and collaboratively within a team. Commitment to the highest ethical standards.

Our Product Management team drives product initiatives from inception through execution, makes impacts and launches products/features across our global footprint. We collaborate closely with engineers, designers, analysts, marketers, and other cross-functional team members to ship remarkable features and products. Role Overview We are looking for a Senior Product Manager to own customer onboarding across the Crypto.com App and adjacent product surfaces. Onboarding is where regulatory requirements, customer acquisition, and time-to-first-value meet. Every improvement you ship should help more customers open an account compliantly, activate faster, and reach the products that matter. Your mandate is to own the onboarding journey as both a growth product and a regulated platform: KYC and account opening, activation and referral mechanics, new-product onboarding, and a meaningful trading scope. Within six months, you will own the onboarding-and-growth charter and take on trading product work in addition to the onboarding charter. You will report to Onboarding squad Lead and work closely on the trading portion of the charter. You will run your roadmap with independence, make prioritization calls, and own the how and the when. If you have built onboarding in a regulated consumer fintech, parts of this will feel familiar. The difference is the breadth: one onboarding platform must support a growing set of products, regulatory paths, and trading journeys. The playbook is still being written. What You'll Actually Do: Own compliant customer onboarding end-to-end. You set the roadmap for account opening, identity verification, KYC requirements, and platform capabilities. You make the tradeoffs between conversion, speed, risk, and regulatory obligations. Turn onboarding into a growth engine. You own activation, referral, new-user incentives, and time-to-first-value. You partner with Marketing on acquisition

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 Requirements: 1-3 years of working experience in financial markets, with strong financial literacy and analytical skills Trained to think rigorously about businesses and numbers Genuine interest in products. Understanding products including but not limited to spot/perps exchanges, RWA / tokenized-asset platform, prediction market, AI Practical fluency with AI productivity tools. You use LLMs daily to research, draft, model and automate, and can point to work

A Career with Point72's Operations Team Point72’s Operations team supports all operational aspects of trade processing, reconciliation, financing, and reporting firmwide for all products, including equities, derivatives, bonds, foreign exchange and futures, and digital assets across global markets. WHAT YOU'LL DO Lead end-to-end trade lifecycle management across global markets for a wide range of products including equities, options, FX, CFDs, swaps, fixed income, repos, and futures, ensuring timely and accurate trade capture, confirmation, and settlement. Reconcile daily positions and cash across multiple counterparties, prime brokers, and custodians; investigate and resolve trade breaks and settlement exceptions to minimize settlement and operational risk. Partner with traders, portfolio managers, clearing brokers, and internal teams to resolve trade lifecycle issues, acting as a trusted operational liaison Manage the end-to-end processing of mandatory and voluntary corporate actions, determining position impact and executing necessary elections or adjustments. Build and implement automation and workflow improvements by identifying process inefficiencies, designing solutions, and partnering with technology to implement and scale changes globally. Execute and monitor FX transactions to manage foreign currency exposure that affects PnL and settlement flows. Maintain and update security master and reference data during Asian and European trading hours to support seamless post-trade processing across global trading activities. Produce and distribute daily exception reports, reconciliations, and operational metrics to senior internal stakeholders and external counterparties, highlighting trends and resolution status. Drive cross-functional projects to enhance settlement efficiency, confirmation workflows, and operational risk monitoring. Create and maintain process documentation, and contribute to continuous learning and improvement within the team. WHAT'S REQUIRED Bac