Trading Analytics Developer Jobs

We’re looking for a Systems Engineer to join our globally distributed Trading Infrastructure team. This is an end-to-end role: you will work on full-stack infrastructure tasks — from new site/provider setups and environment bring-up to validation testing, troubleshooting, and performance bottleneck analysis. You will collaborate closely with vendors, network and hardware engineers and take ownership of delivering reliable production-ready setups What You’ll be doing Deliver end-to-end infrastructure setups across regions/colocations: bring-up, validation, and go-live readiness Own the systems side of the stack: Linux servers, OS baseline, automation, configuration, and performance tuning Run and improve testing/validation: connectivity checks, load/performance tests, failure testing, and readiness checklists Participate in investigation of complex issues and bottlenecks across layers (OS/kernel/drivers/dependencies) and drive fixes with network/hardware peers and 3rd party vendors Build repeatable automation and rollout playbooks (Terraform/Ansible, scripting, standards) Improve observability: metrics/logs, dashboards, alert tuning, and latency/performance baselines Strengthen operations: runbooks, incident reviews (RCA), change hygiene, and documentation Participate in scheduled on-call rotations to support trading infrastructure and incident response. What we look for in you: Hands-on production experience with Linux and systems troubleshooting Ability to debug across layers and coordinate effectively with network/hardware engineers Solid networking fundamentals (TCP/IP, DNS, routing basics, MTU, packet loss/jitter symptoms) Automation mindset: bash/Python; Terraform/Ansible experience is a plus Strong written and verbal communication (clear status updates and documentation) Passion for technology and continuous learning Nice-to-Have: Low-latency / performance tuning experience (CPU/IRQ affinity, NIC tuning, etc.). Colocation / provider coordination ex

Who are we? FalconX is a pioneering team of operators, investors, and builders committed to revolutionizing institutional access to the crypto markets. Operating at the intersection of traditional finance and cutting-edge technology, FalconX addresses the industry's foremost challenges: Navigating the digital asset market can be complex and fragmented, with limited products and services that support trading strategies, structures, and liquidity found in conventional financial markets. As a comprehensive solution for all digital asset strategies from start to scale, FalconX operates as the connective tissue empowering clients with seamless navigation through the ever- evolving cryptocurrency landscape. Responsibilities Be part of a trading systems engineering team, dedicated to building out the core trading platforms. Work closely with cross functional teams to improve the system reliability, scalability and security. Engage in and improve the quality supporting the platform. Build and manage systems, infrastructure and applications through automation. Provide operational support to internal teams working on the platform. Work on improvements to bring in high efficiency, reduce latency, deploy systems faster. Practice sustainable incident response and blameless postmortems. Together with your engineering team, you will share an on-call rotation and be an escalation contact for service incidents. Implement and maintain rigorous security best practices across all infrastructure, with a focus on minimizing attack surface and ensuring data integrity. Monitor system health and performance with a keen eye for identifying and resolving issues before they affect trading activity. Manage user queries and service requests (often requiring in depth analysis of the technical and/or business logic of our systems). Proactive approach to problem analysis and resolution of production incidents. Manage Issue tracking and prioritisation of day to day production incidents. Manage platf

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world's biggest financial problems. We're looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn't a place for complacency, it's where ambitious people do the best work of their careers. We're a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The Trading Tools team builds the research and analysis tools active traders use every day on mobile: asset charts, asset pages, watchlists, portfolio analysis, and the trading ladder. The team also owns Say, Robinhood's shareholder engagement business, which lets investors ask questions at earnings calls and vote their shares. Together these surfaces are how millions of customers research, track, and act on what they own. You’ll shape the future of how users engage with complex financial tools by simplifying decision-making and creating thoughtful, engaging experiences for our retail audience. This is an opportunity to drive new product innovation from the ground up! This role is based in our New York, NY or Menlo Park, CA office, with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. What you'll do Own the product strategy and roadmap for Trading Tools and Say Lead a cross-functional team of engineers, designers, and data scientists to ship on

Job Description We are looking to hire an experienced strategist to join Citi Equity Trading Strategy (CETS) team in New York with a focus on thematic investing. The team is responsible for providing market commentary on the global equity markets, including tactical market analysis. CETS combines macro, equity and derivatives viewpoints to make directional and relative value trading calls alongside medium-term thematic views. The candidate will be a key contributor to, and communicator of, views to Citi’s trading platform, institutional clients and the Citi Private Bank. Additionally, the US CETS Strategist will partner with the US and global CETS and research teams. Key Responsibilities: Contribute to building and executing a fundamentally based framework for thematic investment. Primarily for custom baskets, but also including sectors, ETFs and related products Coverage of US equity market, including top-down analysis of valuation, earnings, options markets, sector recommendations and trade ideas Thought leadership for US equity trading & sales Generate formal client recognition for Citi’s US equity strategy product via client votes and external poll rankings <span style="color

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . Software Engineer, Frontend (Coinbase Advisor - Agentic Trading) We're hiring a Senior Software Engineer to join the Coinbase Advisor team within the Consumer & Business group. Coinbase Advisor is the world's first RIA-licensed agentic trading system: an AI advisor living inside the Coinbase app that holds a natural conversation about a user's portfolio, gives personalized financial advice, and executes trades on their behalf. This role is primarily frontend on a full-stack team. You'll own the interfaces that make agentic trading feel fast, clear, and trustworthy for millions of customers, and you'll follow that work into our Go services and LLM layer when the product calls for it. What you'll do: Own the frontend for Coinbase Advisor end to end across React Native mobile and web, including the agentic chat interface, our Strategies experience, and every entry point that brings users into it Build real-time, streaming interfaces for AI-driven advice, trade recommendations, and autonomous execution, where sub-second responsiveness and visual clarity are compliance requirements rather than polish Shape agent behavior directly through prompt engineering, evals, and conversation analysis, because on this team the system prompt is a product surface Extend our Go backend services and LLM integrations (LLM Gateway, Google Gemini) when a great frontend experience depend

Role Overview We are seeking an experienced Capital Markets Consultant with strong domain knowledge in commodities trading and hands-on experience in implementing or enhancing Commodity Trading and Risk Management (CTRM) or Energy Trading and Risk Management (ETRM) platforms. The candidate will work with commodity trading firms, energy companies, financial institutions, and technology teams to deliver end-to-end platform implementation and transformation initiatives. The role involves requirements gathering, business process analysis, functional solution design, system configuration, integration, testing, and implementation support across the commodities trade lifecycle. The ideal candidate will have a good understanding of physical and financial commodity trading, trade lifecycle management, risk and valuation processes, and the integration of trading platforms with downstream systems. Key Responsibilities Commodities Domain Expertise Demonstrate strong understanding of commodities trading across one or more asset classes, including oil and refined products, natural gas, power, metals, agricultural commodities, or LNG. Understand physical and financial commodity trading processes, including spot, forward, futures, options, swaps, and structured contracts, as applicable. Analyse the end-to-end trade lifecycle, from deal capture and confirmation to scheduling, logistics, invoicing, settlement, and accounting. Understand key commercial terms such as pricing formulas, market indices, volume and quality specifications, delivery locations, incoterms, and contract terms. Support processes involving physical commodity movements, inventory management, nominations, scheduling, and logistics, where relevant. Understand commodity market risk concepts, including mark-to-market (MtM) valuation, position management, exposure analysis, and profit and loss (P&L) reporting. CTRM/ETRM Platform Implementation Participate in end-to-end implementation, enhancement, or migr

Role: Network Engineer Location: Gurgaon Graviton is a privately funded quantitative trading firm striving for excellence in financial markets' research. We are seeking a Network Engineer for our team in Gurgaon. Graviton trades across a multitude of asset classes and trading venues using a gamut of concepts and techniques ranging from time series analysis, filtering, classification, stochastic models, pattern recognition to statistical inference analysing terabytes of data to come up with ideas to identify pricing anomalies in financial markets. Key Responsibilities Design, deploy, operate, and troubleshoot low-latency network infrastructure used by trading firms. Manage connectivity to global stock exchanges, brokers, market-data providers, and ISPs. Build and maintain colocation infrastructure including routers, switches, Layer-1 devices (added advantage), structured cabling and cross connects. Configure and support Cisco Nexus, Arista and similar platform devices. Design and troubleshoot Layer 2 and Layer 3 networks including: VLANs, VRFs, BGP, OSPF, Static routing, PIM, IGMP, Multicast, SSM, ACLs and QoS. Troubleshoot packet loss, multicast issues, duplicate packets, IGMP/PIM and multicast/BGP routing. Monitor and optimize latency, jitter, packet loss, interface errors, congestion, and network performance. Work with ultra-low-latency technologies including: Cut-through switching, Layer-1 switches, FPGA-based network devices, Kernel-bypass networking, ExaNIC/Solarflare NICs, Hardware timestamping. Configure and troubleshoot PTP and clock synchronization infrastructure. Perform server and network equipment installation in exchange and third-party data centres. Manage rack layout, patching, cable optimization, optics, DACs, cross-connects, and inventory. Coordinate network changes with exchanges, telecom providers, brokers, vendors, and data-centre teams. Plan and execute production changes during approved maintenance windows. Perform pre-change validation, c

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 Quantitative alpha research requires mastery of multiple domains. The best research requires original research ideas, good intuition, strong data analysis skills, and good research planning. Our research directly drives our investment decisions. This role is highly selective. We have a long history of training extraordinarily talented academic researchers to succeed in the investment services industry. Prior experience in the financial services industry is not required. RESPONSIBILITIES Provide research assistance to full-time researchers Assist with data collection and preliminary analysis Follow, digest, analyze and improve upon the latest academic research DESIRABLE CANDIDATES Ph.D. candidates in finance, economics, mathematics, statistics, physics, computer science, or other quantitative discipline. Programming in any of the following: R, Python, or C++. Experience with SQL. Solid research experience in the field of the candidate’s specialty. Strong analytical and quantitative skills. Detail-oriented. Demonstrated ability to learn and apply new methodologies to real life problems. Willingness to take ownership of his/her work. Ability to work both independently and collaboratively within a team. Strong desire to deliver high quality results in a timely fashion. Prior experience in the financial services industry is not required.

Support Analyst - Risk and Trading Large investment bank requires an Application Support Analyst to join their Front Office facing Trading and Risk group providing 1st and 2nd line support and enhancement to their electronically traded products and associated infrastructure solutions for trading execution. Candidates will be responsible for facing off to traders, risk managers and external clients providing Application Support Analyst expertise, increasing of systems performance, automation, infrastructure systems deployment, extensions and analysis of the implementation and integration requirements for the global trading system. Candidates will be expected to hold some understanding of production environments across large scale distributed global systems gained from either an Investment Bank, Software House, Global Telco, FinTech, Hedge Fund or comparable environment utilizing Unix / Linux. Full detailed spec available. Suitable skills: Production Support Analyst Large Scale Systems Application Support CI/CD Database manipulation in SQL Unix/Linux Scripting Python Scripting skills Application Monitoring Some desire to learn / appreciation of Devops and automation tools Support Analyst - Risk and Trading

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 maintain comprehensive Web/App test cases and test plans covering functionality, compatibility, and interaction Develop and maintain UI/API automated tests using Java, Python, or JavaScript to ensure high coverage and reliability Combine automation and manual exploratory testing to validate user scenarios and discover potential experience issues Perform root cause analysis on test failures and production issues, and drive fixes to closure Identify blind spots i

Role Overview We are seeking an experienced Capital Markets Consultant to support business transformation, regulatory change, and technology implementation initiatives across capital markets. The candidate will work closely with business stakeholders, front-, middle-, and back-office teams, technology teams, and external partners to deliver solutions that improve operational efficiency, strengthen risk management, and enhance trading and post-trade processes. The ideal candidate is a capital markets professional with 6–8 years of experience who combines strong financial services domain knowledge with consulting, business analysis, and project delivery capabilities. The candidate should be comfortable engaging with stakeholders, analysing complex business processes, translating requirements into practical solutions, and driving deliverables across multidisciplinary teams. Key Responsibilities Capital Markets Domain Expertise Demonstrate strong understanding of capital markets products, processes, and operating models across equities, fixed income, foreign exchange, derivatives, and structured products. Understand the trade lifecycle, including trade execution, confirmation, clearing, settlement, collateral management, and reconciliations. Work across front-office, middle-office, and back-office functions, depending on project requirements. Understand market infrastructure, including exchanges, central counterparties (CCPs), central securities depositories (CSDs), and custodians. Support initiatives involving trading platforms, order management systems (OMS), execution management systems (EMS), and post-trade processing platforms. Business Analysis and Consulting Engage with business stakeholders to understand business needs, pain points, and operational challenges. Conduct workshops, stakeholder interviews, process assessments, and gap analyses. Translate business needs into business requirements documents (BRDs), functional specifications, user stories, and ac

Role: VPN Engineer Location: Gurgaon Graviton is a privately funded quantitative trading firm striving for excellence in financial markets' research. We are seeking a Network Engineer for our team in Gurgaon. Graviton trades across a multitude of asset classes and trading venues using a gamut of concepts and techniques ranging from time series analysis, filtering, classification, stochastic models, pattern recognition to statistical inference analysing terabytes of data to come up with ideas to identify pricing anomalies in financial markets. Responsibilities Manage and support corporate network infrastructure across multiple locations, including routers, firewalls, switches, wireless access points, VPN gateways, Internet links, and LAN/WAN connectivity. Configure and troubleshoot VPN technologies such as IPsec, SSL VPN, site-to-site VPN, remote-access VPN, WireGuard, OpenVPN, and FortiClient/FortiGate VPN, including issues related to authentication, tunnels, routing, DNS, packet loss, performance, split tunnelling, and firewall policies. Manage secure connectivity between offices, data centres, cloud environments, and remote users. Configure and maintain office LAN infrastructure, including VLANs, trunk/access ports, inter-VLAN routing, DHCP, DNS, NAT, ACLs, static routing, BGP, and OSPF where required. Manage multiple ISP connections, including primary and backup Internet links, automatic failover, and monitoring of utilization, latency, jitter, packet loss, and link availability. Coordinate with ISPs and telecom providers for new circuits, link failures, bandwidth upgrades, routing issues, packet-loss investigations, and service escalations. Manage firewall policies, NAT rules, VPN policies, network objects, and routing, while regularly reviewing and removing unnecessary access. Implement network segmentation across user, server, management, guest, and other business networks, while maintaining secure administrative access to network equip

Role Overview: We are seeking an Accountant to join our Finance team in Singapore. The role focuses on maintaining an accurate general ledger, ensuring timely month-end closures, maintaining internal controls over financial reporting, and supporting audits and tax filings. The ideal candidate thrives in a fast-moving trading environment with high transaction volumes, multiple legal entities, and constantly evolving products. Key Responsibilities: Execute month-end and year-end close processes. Prepare and review accounts payable, journal entries, accruals, account reconciliations, bank wires and fluctuation analyses. Maintain accurate standard operating procedures, financial records and documentation. Identify and implement automation opportunities within the accounting, close and reconciliation process. Liaise with banks, auditors, tax agents, and government authorities and external service providers. Prepare financial statements and management reports. Monitor cash flow and bank balances to ensure sufficient funding for operational requirements. Required Skills and Qualifications: 2-4 years of experience in audit firms and/or in-house finance teams. Bachelor’s degree in Accountancy from a reputable university. Proficiency in Microsoft Excel for accounting, data analysis and resolving breaks Excellent problem-solving skills. Expertise in financial reporting standards, regulatory compliance, GST, and corporate tax requirements. Strong sense of integrity, responsibility, attention to detail and the ability to work under pressure.

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.

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 Our research center in Singapore is seeking an experienced researcher with a strong background in alpha research. In this highly selective role you will have access to abundant research resources and exciting opportunities to discover high quality alpha signals that directly drive our investment decisions. RESPONSIBILITIES Conduct original quantitative alpha signal research Manage all aspects of the research process, including data analysis, alpha signal discovery, backtesting, trading idea generation, alpha signal/portfolio analysis and the management of production code Evaluate new datasets for alpha potential Follow, digest, analyze and improve upon the latest academic research DESIRABLE CANDIDATES 2+ years of research experience in Equities. Ph.D. or M.S. in finance, accounting, economics, mathematics, statistics, physics, computer science, operations research, or another quantitative discipline. Programming in any of the following: R, Python, or C++. Experience with SQL. Demonstrated ability to learn and apply new methodologies to alpha generation. Ability to work both independently and collaboratively within a team. Strong desire to deliver high quality results in a timely fashion. Detail-oriented. Willingness to take ownership of his/her work.