Trading Systems Integration Engineer Jobs

Who We Are At OKX, we believe the future will be reshaped by technology. Founded in 2017, we are revolutionising world systems through our cutting-edge digital asset exchange, Web3 portal and blockchain ecosystems. We reshape the financial ecosystem by offering some of the most diverse and sophisticated products, solutions, and trading tools on the market. Trusted by more than 50 million users in over 180 countries globally, OKX empowers every individual to explore the world of Web3. With our extensive range of products and services, and unwavering commitment to innovation, OKX envisions a world of financial access backed by blockchain and the power of decentralized finance. We are innovative in the way we think, work, and in the products we create. We are also socially responsible by actively participating and encouraging employees to take part in various public welfare activities. With more than 3,000 employees around the world, we believe embracing diversity and inclusion will spark the creation of long-term value for the industry. Come Build the Future with Us now! About the Team The Operations function at OKX is the engine powering our local business growth and execution. We are a team of product-minded, commercially driven problem solvers who bridge the gap between strategy, customer experience, and compliance. We build scalable workflows, drive market expansion, and champion operational excellence - ensuring we scale the business efficiently and responsibly. What You'll be Doing: Cross-Functional Project Leadership: Lead strategic, high-impact initiatives across Product, Growth, VIP/Affiliates, Compliance, and Customer Support. Product & Tech Operations Bridge: Partner closely with Product Managers and Engineering to align on product rollouts, conduct operational testing, influence roadmap prioritization, and optimize end-to-end customer journeys. Commercial Alignment & Growth Support: Collaborate with commercial and growth teams to scale operational

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. WHAT YOU'LL DO The Quant Developer will be responsible for building and maintaining the research infrastructure and backtesting frameworks that support quantitative research, working closely with researchers to translate research ideas into robust, scalable, and maintainable research systems. The role spans multiple areas, including system design, data pipeline development, and the development of research and backtesting frameworks. WHAT'S REQUIRED Background in Electrical Engineering, Computer Science, or a related field, with 3+ years of software development experience as a software engineer. Strong programming ability in C++ and Python. Solid command of CI/CD practices and tooling, with the ability to design and maintain automated testing and build pipelines for research and backtesting environments. Practical knowledge and hands-on experience with distributed computing and distributed job scheduling / task assignment. Excellent analytical and engineering problem-solving skills. Demonstrated ability to work independently on large datasets and large codebases. A strong team player who works closely with researchers to translate research ideas into stable, maintainable research systems. Willingness to take ownership of your work, able to operate both independently and within a small team, while remaining careful, detail-oriented, and capable of performing well under pressure. Strong English communication skills. Commitment to the highest ethical standards. We take care of our people We invest in our people, their careers, their health, and their well-being. When you work here, we provid

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. Senior Software Engineer, Backend 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. Robinhood’s engineering organization spans Crypto, Brokerage, and Core Engineering, each responsible for systems that are foundational to how customers invest and manage their money! These teams build and operate platforms for trading, custody, ledgers, reporting, payments, and shared infrastructure, with a strong focus on correctness, reliability, and customer trust. Engineers partner closely with product, design, data, and infrastructure teams to deliver software that performs at scale. As a Senior Software Engineer , you will design and build large-scale distributed systems that support real-time trading, balances, and platform capabilities. You will lead technically complex projects, contribute to architectural decisions, and collaborate with frontend and data partners to deliver well-structured APIs. Your work will directly influence system performance, operational safety, and long-term maintainability across core Robinhood products. This role is based in our Menlo Park, CA and New York, NY offices, with hybrid attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progr

Vise is hiring a Senior Client Success Associate to join our Account Management Team. You'll be a go-to resource for our financial advisor clients and a key part of Vise's operational core — working directly with custodians and acting as the liaison between clients and our Engagement Managers, Trading, and Investment Strategy teams to keep account onboarding, implementation, and day-to-day execution running smoothly. In this role, you'll learn our platform and internal systems inside out, monitor and handle client account activity, support trading operations, and maintain data accuracy across multiple tools. It's a strong fit for someone who thrives in a fast-paced environment, takes pride in operational excellence, and is eager to grow in fintech and investment management. This role is onsite in our SoHo, NYC office. What You Bring On Day One Minimum of 3-5 years of client operations-related role in wealth management, investment management, or a related financial services environment Strong attention to detail with the ability to stay organized and prioritize in a fast-moving setting Clear and confident communicator with excellent verbal and written communication skills both inside the organization, as well as externally with clients and other third parties Intellectually curious, independently resourceful, and thrives in a goal-oriented environment Quick learner who can adapt to new tools, processes, and product updates with ease Team-focused mindset, eager to collaborate and take initiative with others to resolve problems Experience with custodian platforms (such as Charles Schwab and Fidelity) is preferred Comfortable working with programming languages and interfaces (such as SQL, Retool, and Snowflake) is a plus A no task too small mindset What You Will Own Support Engagement Managers and the Trading team in delivering a high-touch client experience by addressing inquiries related to trading, portfolio management, and onboarding Manage the end-to-end portfolio

NK Securities Research is a leading financial firm that leverages cutting edge technology and sophisticated algorithms to trade the financial markets. Founded in 2011, we have gained invaluable experience in the field of High Frequency Trading across different asset classes. We are seeking a Network Infrastructure Manager to lead our network operations, ensure setup, maintenance, reliability, and optimize performance to support our trading activities. Key Responsibilities: As a Network Infrastructure Manager, you will be responsible for designing, implementing, and managing the firm’s network infrastructure to ensure high availability, low latency, and security. You will collaborate with trading, systems, and development teams to meet the demanding requirements of algorithmic trading and maintain seamless exchange connectivity. Design and implement network infrastructure in colocation for low latency exchange connectivity Design and implement network infrastructure for inter and intra data centres Develop scalable network architectures to accommodate growing business requirements Optimize network performance for local, wide-area, and data center networks. Oversee daily network operations, ensuring 24/7 network availability and minimal downtime. Manage network related hardware such as switches, routers, and firewalls across multiple data centers. Lead incident response for network issues, identifying root causes and implementing solutions. Develop and maintain tools for real-time network monitoring and performance analysis. Optimize configurations for minimal packet loss, latency, throughput and jitter. Evaluate and implement new technologies to improve network efficiency and reliability. Ensure network security by managing firewalls, VPNs, and intrusion detection systems. Collaborate with compliance teams to ensure adherence to regulatory requirements. Implement best practices for securing sensitive trading data and infrastructure. Work closely with trading, develop

NK Securities Research is a leading financial firm that leverages cutting edge technology and sophisticated algorithms to trade the financial markets. Founded in 2011, we have gained invaluable experience in the field of High Frequency Trading across different asset classes. Key Responsibilities: As a Software Developer - Platform, you will play a vital role in building and enhancing tools that empower our Quant, Infrastructure, Compliance, and Operations teams. In addition to web application development, you will be responsible for automating critical infrastructure processes, optimizing tasks, and delivering scalable solutions for our trading ecosystem. Application Development: Develop and maintain in-house software tailored for business and trading requirements. Enhance internal tools and applications to improve the user experience for different teams. Ensure robust and reliable trade monitoring systems through continuous innovation. Automation Development: Design and develop frameworks to automate infrastructure provisioning, configuration, and deployment using latest industry best practices Automate exchange-specific tasks such as connectivity management, order book monitoring, and trade execution workflows. Task Optimization: Identify and optimize repetitive tasks through scripting and configuration management. Ensure scalable and adaptable solutions to support multiple exchanges and regions. Infrastructure as Code (IaC): Use Ansible to codify infrastructure configurations, ensuring consistency and repeatability. Manage playbooks for server setups, network configurations, and middleware deployment. System Monitoring and Maintenance: Develop tools for system health checks, performance monitoring, and logging. Automate response mechanisms for critical alerts and incidents. Collaboration: Work closely with infrastructure, network, and trading teams to gather requirements and deliver robust solutions. Coordinate with exchange connectivity teams to ensure complianc

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 Developer for a PM team focused on systematic credit and related asset classes. This is a unique opportunity to collaborate, learn, and lead technology projects with high business impact. Responsibilities: Design and develop software for strategy research and trading. Build and improve tools for data acquisition, processing, and visualization. Work on the execution/order management system, live dashboards, and P&L reconciliation tools. Manage the team’s CI/CD pipeline, job running infrastructure, and other tech components. Ensure robustness and efficiency of the team’s systems. Be ready to troubleshoot and correct any issues. Collaborate with the portfolio manager, quant researchers, and traders. Requirements: Undergraduate or graduate degree in Computer Science. 2+ years of experience developing research and trading infrastructure at a financial institution, or demonstrated excellent skills required for the role. Prior experience with execution/order management systems, real-time data servers, and visualization is a plus. Solid understanding of Linux OS—system components, process management, shell scripting. Proficiency in Python, including in the object-oriented design, unit/reg testing, conda environment management. Knowledge of SQL, JavaScript, Apache airflow. Strong communication skills. Willingness to take ownership of his/her work. 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 Dynamically managing portfolio risk by evaluating historical and real-time strategy performance. Overseeing automated trade execution and monitoring transaction costs. Supervising a small team of researchers and developers on a daily basis. Designing, researching, and managing sophisticated investment strategies by creating and engineering advance quantitative financial computer modeling systems to aid in analysis and research. Performing research to acquire historical and production data sources needed to build investment models. Designing and developing quantitative mathematical algorithms to link the diverse data sets from various providers. Engineering investment models that will make the buy and sell recommendations for the portfolios using advanced quantitative mathematic statistics and investment theory to design and program strategies that explicitly forecast risk, return, and trading costs. Using quantitative models to value securities. Conducting ongoing, cutting-edge quantitative research and analysis to enhance existing strategies and to expand into new markets. Developing aspects of successful statistical models, focusing on forecasting and optimization. Expanding trading universe and volume and expanding to other exchanges and products. REQUIREMENTS Advance degree (Masters or Ph.D.) in a computational or analytical field. Minimum of 10 years’ experience developing, researching or implementing quantitative models for equities, futures and/or FX. Hands on experience with all aspects of the research process, including methodology section, data collection and analysis, testing,

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 Dynamically managing portfolio risk by evaluating historical and real-time strategy performance. Overseeing automated trade execution and monitoring transaction costs. Supervising a small team of researchers and developers on a daily basis. Designing, researching, and managing sophisticated investment strategies by creating and engineering advance quantitative financial computer modeling systems to aid in analysis and research. Performing research to acquire historical and production data sources needed to build investment models. Designing and developing quantitative mathematical algorithms to link the diverse data sets from various providers. Engineering investment models that will make the buy and sell recommendations for the portfolios using advanced quantitative mathematic statistics and investment theory to design and program strategies that explicitly forecast risk, return, and trading costs. Using quantitative models to value securities. Conducting ongoing, cutting-edge quantitative research and analysis to enhance existing strategies and to expand into new markets. Developing aspects of successful statistical models, focusing on forecasting and optimization. Expanding trading universe and volume and expanding to other exchanges and products. REQUIREMENTS Advance degree (Masters or Ph.D.) in a computational or analytical field. Minimum of 10 years’ experience developing, researching or implementing quantitative models for equities, futures and/or FX. Hands on experience with all aspects of the research process, including methodology section, data collection and analysis, testing,

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 Dynamically managing portfolio risk by evaluating historical and real-time strategy performance. Overseeing automated trade execution and monitoring transaction costs. Supervising a small team of researchers and developers on a daily basis. Designing, researching, and managing sophisticated investment strategies by creating and engineering advance quantitative financial computer modeling systems to aid in analysis and research. Performing research to acquire historical and production data sources needed to build investment models. Designing and developing quantitative mathematical algorithms to link the diverse data sets from various providers. Engineering investment models that will make the buy and sell recommendations for the portfolios using advanced quantitative mathematic statistics and investment theory to design and program strategies that explicitly forecast risk, return, and trading costs. Using quantitative models to value securities. Conducting ongoing, cutting-edge quantitative research and analysis to enhance existing strategies and to expand into new markets. Developing aspects of successful statistical models, focusing on forecasting and optimization. Expanding trading universe and volume and expanding to other exchanges and products. REQUIREMENTS Advance degree (Masters or Ph.D.) in a computational or analytical field. Minimum of 10 years’ experience developing, researching or implementing quantitative models for equities, futures and/or FX. Hands on experience with all aspects of the research process, including methodology section, data collection and analysis, testing,

Description: Graviton Research Capital LLP, Gurgaon is looking to hire Software Engineers for our Core Technology team which has some of the best programmers in India working on cutting edge technologies to build a super fast and robust trading infrastructure handling millions of dollars worth of trading transactions every day. As a Senior Software Engineer with Graviton your responsibilities will include: Designing and implementing a high-frequency automated trading system, that trades on multiple exchanges Building live reporting and administration tools for the trading system Performance optimization and improving the overall latency of systems, through algorithm research and using cutting edge tools and techniques End-to-end ownership of modules, including designing, development, deployment and support Growing the team through involvement in the regular hiring process and occasional campus recruitments Requirements : The ideal requirements for our candidates are: A degree in Computer Science 3-5 yrs Experience with C/C++ and object-oriented programming Experience in HFT industry Expertise in algorithms and data structures Excellent problem solving skills Strong communication skills A working knowledge of Linux systems Any of the following is a plus: A good understanding of TCP/IP and Ethernet Knowledge of any other programming language e.g. Java, Scala, Python, bash, Lisp, etc. Familiarity with parallel programming models and parallel algorithms Experience with big data environments e.g. Hadoop, Spark etc. Benefits: Our open and collaborative work culture gives you the freedom to innovate and experiment. Our cubicle free offices, non-hierarchical work culture and insistence to hire the very best creates a melting pot for great ideas and technological innovations. Everyone on the team is approachable, there is nothing better than working with friends! Our perks have you covered. Competitive compensation Annual international team outing Fully covered commuti

The Hall & Kay way… it’s a people thing. At Hall & Kay, we deliver complex fire protection and security solutions to protect what matters most to our clients. As technical experts our focus is on the lifetime value of a project. Meaning we can design, supply, install, test and maintain all types of sprinkler, gas suppression, fire detection, and integrated security systems. With 140+ year trading experience and a strong project delivery culture, we are proud to have built lasting relationships with some of the UK’s most respected companies in all areas of industry and construction. Summary of Role You will be responsible for managing and coordinating quotation processes for remedial, repair, and maintenance works within the service business. This role serves as the primary point of contact between suppliers and clients for obtaining accurate pricing and specifications for corrective remedial works. What you will be doing Process requests for quotations (RFQs) for remedial works, repairs, and maintenance across building portfolios. Coordinate with approved suppliers and service providers to obtain competitive quotes. Review and analyse quotes for accuracy, completeness, and compliance with specifications. Ensure quotes include appropriate scope of works, materials, labour costs, and timelines. Review building defect reports, condition assessments, and maintenance logs to determine required works. Interpret technical specifications and translate them into clear scope requirements for customers. Verify that quoted works align with id

About Us OpenFX is on a mission to move money as freely as data, unrestricted by time zones, banking hours, or legacy systems. We are building the infrastructure that will power the next generation of cross-border payment systems for institutions. The team's execution has been exceptional, and we're scaling at a remarkable pace. Our stellar early team brings experience at companies such as J.P. Morgan, Goldman Sachs, Mastercard, FalconX, PayPal, Checkout, Kraken & more. We most recently raised a $94 million Series A financing led by Accel, Lightspeed, NfX, and other top-tier investors. The Opportunity Stablecoins are becoming a core part of financial infrastructure and Europe leads the way in money movement, driving nearly half of all global FX trading. The European Union’s MiCA regulation for stablecoins gives the region a clear foundation to transform how institutions move money. Today they still move money across borders on rails built for another era. OpenFX is building the rails that replace them. We are looking for a Growth Lead, Europe | Institutional Markets to own that opportunity across Europe. Based out of London, you will own the region’s client acquisition strategy, close the largest institutional deals and ultimately build the business rather than inherit a slice of it. You will be at the front line of the business, engaging strategic accounts and bringing vital client and industry insights back to the OpenFX team to help drive our product strategy. If you have spent your career bridging traditional finance and digital assets, this is where you get to shape the future of global money movement. Key Responsibilities: Own Client Acquisition & Partnerships, Win Strategic Accounts, Build C-Suite Relationships, and Be the Face of OpenFX in Europe Own Client Acquisition & Partnerships Build and drive the client acquisition and partnerships strategy for Europe across OpenFX’s multi-product solution Own regional revenue and margin target

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose. Position Overview: Are you looking to be part of a technology team beyond the ordinary? A place full of exciting challenges and the engineers up to solving them? Then welcome to Financial Engineering! This is the place where the models become software, where many of the numbers that drive our business decisions are produced. Our systems are used for interest rate and credit risk management, investment analysis and trading, security issuance, automated loan underwriting, distressed loan decisions, economic and regulatory capital, property valuation, financial reporting, economic and GAAP forecasting, and more! Our Impact: Model Application Development team is responsible for converting models to application software. We evaluate millions of loans per day using the latest ML algorithms. We turn ML algorithms to APIs using web services. We are responsible for implementing underwriting, servicing and loss mitigation models Your Impact : Automating and deploying Financial Models developed using ML algorithms. Maintaining underwriting models, credit data processing. Deploying model configuration with market and economic data for loss mitigation models. Providing APIs to Financial Models to integrate with IT applications. Performance tuning and stress testing Models. Participating in model tie outs. Identifying and resolving any issues in reconciling with model results. Fixing software security vulnerabilities identified in SAST and FOSS scanning. Code review and guiding junior level developers. <u

About Us OpenFX is on a mission to move money as freely as data, unrestricted by time zones, banking hours, or legacy systems. We are building the infrastructure that will power the next generation of cross-border payment systems for institutions. The team's execution has been exceptional, and we're scaling at a remarkable pace. Our stellar early team brings experience at companies such as J.P. Morgan, Goldman Sachs, FalconX, PayPal, Affirm, Polygon, Kraken, Nium, Visa, Mastercard and others. We're backed by Accel, Lightspeed, M13, Northzone, Pantera, and other top-tier investors. About the Role We are hiring a Client Success, LatAm to join our Latin America go-to-market team in Miami, reporting to the Head of Client Success, LatAm. You will own the day to day relationship for a portfolio of institutional clients, including payment companies, PSPs, fintechs, and digital asset platforms, and help them move more of their cross-border flow through OpenFX. The role blends full ownership with close support. Roughly 60% of your time goes to running your own book of growing accounts end to end, and about 40% goes to supporting our largest Latin America relationships alongside the Head of Client Success. You will work daily with Sales, Trading Operations, Product, Compliance, and RevOps. What You'll Do Own a portfolio of institutional clients as their primary point of contact so every account has a clear owner and a relationship that keeps getting stronger. Build and run an account growth plan for each client so you understand their business model, priorities, and where more of their FX flow can come to OpenFX. Grow transaction volume by helping clients optimize their FX flows, pricing, and settlement setup so they trade more, and more often, on our platform. Monitor client health and trading activity so you spot slowdowns early and bring accounts back before they go quiet. Expand accounts through upsell and deeper product use so fast-growing clients become some of our larg