This role focuses on innovating and maintaining cross-asset market microstructure analytics to assist clients with execution decisions, developing analytics infrastructure, and optimizing Algos.
Compensation
The expected base salary for this New York, NY, United States-based position is $110000-$125000. In addition, you may be eligible for a discretionary bonus if you are an active employee as of fiscal year-end.
Responsibilities
Innovate and maintain new cross-asset market microstructure analytics to assist clients with execution decisions
Develop pre-trade, real-time monitoring and post-trade analytics infrastructure and tools for both internal and external audiences
Product Development and parameter optimization of existing and new Algos on both the front-end and the back-end
Work with Sales and Trading to prepare tailored pitches and speak to clients who execute Algos
Conduct execution strategy analysis, and present these results to both internal and external audiences
Requirements
Bachelors, Masters, or PhD in a STEM (Science, Technology, Engineering and Math) discipline
Provide senior, low-latency systems and application framework engineering within the High Performance Architectures (HPA) team, focusing on algorithmic trading systems, market data replay, and back test utilities.
Compensation
€71,440.00 - €107,160.00
Responsibilities
70% hands in the Java codebase. Build microservices based event sourcing systems on a low latency in-house framework.
Lead integration of functions to meet goals, deploy new products, and enhance processes
Analyze complex business processes, system processes, and industry standards to define and develop solutions to high level problems
Provide world class expertise in area of Java low latency development.
Utilize advanced knowledge of supported main system flows and comprehensive knowledge of multiple areas to achieve technology goals
Requirements
Bachelor’s degree/University degree or equivalent experience
Coordinates end-to-end delivery of full-stack and GenAI engineering projects, identifying technical resource requirements, managing cross-functional dependencies, and establishing sprint and milestone schedules.
Responsibilities
Coordinates end-to-end delivery of full-stack and GenAI engineering projects, identifying technical resource requirements, managing cross-functional dependencies, and establishing sprint and milestone schedules.
Oversees technical deliverables across modern tech stacks—including backend services (Python, Java, REST APIs), frontend frameworks, relational databases (PostgreSQL, MySQL), NoSQL stores (MongoDB, DynamoDB, Couchbase), and containerized platforms (OpenShift, Kubernetes, AWS ECS) including KDB.
Tracks and coordinates proof-of-concepts (POC's) and production implementations involving Generative AI frameworks (e.g., Lang Chain, Open OpenAI API, Hugging Face models), ensuring alignment with enterprise architecture and AI safety policies.
Verifies adherence to strict software development lifecycle (SDLC) controls, architectural standards, change management protocols, information security policies, and regulatory compliance.
Determines scope, root causes, and impacts of technical risks, blockers, and defect backlogs; actively drives cross-team resolution and mitigation strategies.
Requirements
Bachelor’s degree
University degree
Master’s degree preferred
Nice to have: core banking/financial services systems
Design, build, and maintain proprietary in-house databases and data infrastructure to support systematic credit trading activities and develop algorithmic trading strategies.
Compensation
Receive a highly competitive salary with performance-based bonuses
Responsibilities
Design, build, and maintain proprietary in-house databases and data infrastructure to support systematic credit trading activities.
Develop, implement, and continuously enhance algorithmic trading strategies across cash bonds, CDS, indices, ETFs, and other credit products.
Establish and manage an independent two-sided algorithmic market-making and trading book across DM and EM credit markets.
Research, develop, and deploy multi-factor quantitative models to identify trading opportunities and generate alpha within systematic credit strategies.
Requirements
Advanced degree in Quantitative Finance, Mathematics, Statistics, Physics, Engineering, Computer Science, or a related quantitative discipline.
Nice to have: cloud-based data and computing environments
Oversee the global engineering function for the Multi-Asset Agency Solutions platform, directing a team of 30+ engineers to develop mission-critical trading technologies across equities, futures, rates, and FX.
Compensation
The Expected Salary Range For The Above Position Is $300,000 - $400,000. Depending On Factors Including But Not Limited To The Candidate’s Experience, Skills, Registration Status; Market Conditions; And Business Needs. This Salary Range Does Not Include Other Elements Of Total Compensation, Including A Discretionary Bonus and Benefits Such as a 401(K) Program With Company-Matching Contributions; Health, Dental, Vision, Life and Disability Insurance; And Paid Time-Off Plan.
Responsibilities
Provide strategic direction and day-to-day leadership for all technical aspects of the multi-asset trading platform
Oversee the architecture and optimization of core trading engines across asset classes
Manage the smart order router and order management systems
Lead initiatives around flow internalization and market microstructure innovation
Direct platform engineering efforts, system performance tuning, and infrastructure modernization
Design and implement high-throughput / low-latency software to catch and prevent trading errors of millions of orders daily, and support new controls for Asian markets.
Responsibilities
Design and implement high-throughput / low-latency software to catch and prevent trading errors of millions of orders daily
Take ownership of your code: from implementation and test automation to deployment and operational support (3rd level only)
Lead low‑latency systems and application framework engineering for Citi’s high‑performance architecture team in London, focusing on Java and Rust microservices for algorithmic trading.
Compensation
competitive base salary (which is annually reviewed)
Responsibilities
Lead integration of functions to meet goals, deploy new products, and enhance processes
Analyse complex business processes, system processes, and industry standards to define and develop solutions to high level problems
Provide world class expertise in Java low latency development
Consult with end users to identify system function specifications and incorporate into overall system design
Influence and negotiate with senior leaders and communicate with external parties
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