FX - Agentic AI for E-Trader & Algo Workflows

United States - New York

Investment Banking, Quantitative Analysis, Sales and trading, Trading

Investment Bank

Job Reference #

339164BR

City

New York

Job Type

Full Time

Key responsibilities

We are seeking an experienced candidate to join our eFX Quantitative Analytics Development team, sitting within UBS Global Markets. This is a fast paced and collaborative team that are responsible for the development and enhancement of the best-in-class eFX platform and associated analytics suite. The team sits within the Global Markets Principal Flow Trading stream, and has a business reporting line.

• You will be operating within a high-performing quantitative development team, whose goals are directly aligned to the success of the business
• You will take ownership of initiatives from initial requirement, through, analysis, design, implementation and delivery
• You will proactively suggest and drive through improvements to the platform and our framework
• You will work partner with the eTrading and Quantitative Analyst team to deliver analytics capabilities that will optimising the competitiveness and profitability of the eFX business
• You will understand the financial and technical implications of the decisions and implementation choices that you make
• You will show work across the full analytics stack, showing flexibility by working with the right data and technology stack for a given problem
• You will keep the business at the forefront of technology, by identifying and implementing use cases for machine learning and AI where appropriate
• You will be involved in every aspect of analytics for the eFX business
• Real-time risk and position analytics
• Market share and client optimization tools Backtest and regression tests of different risk and configuration models
• Ad-hoc research, data visualisation, LLM powered analytics, etc
• Regulatory and internal reporting
• You will contribute to shared analytical tools that are utilised by all eTrading businesses within Principal Flow Trading
• You will be willing to work with a global team across different timezones

Your Career Comeback

We are open to applications from career returners. Find out more about our program on ubs.com/careercomeback.

The team

• A highly technical and innovative quant analytics and development team, leading automated trading in FX
• Part of the Principal Flow Trading Quant Development department, alongside teams that are aligned to eRates, eCredit, FX Derivatives, Equity Derivatives, and Cash Equities
• Focused on maximising automation, performance and analytical capabilities in order to drive eTrading revenues
• Operating in a highly agile manner, releasing to production multiple times per day
• The team is known for being collaborative and diverse, with a mandate to deliver meaningful change
• Diversity helps us to grow together. That’s why we are committed to fostering and advancing diversity, equity, and inclusion. It strengthens our business and brings value to our client

Your skills and experience

• A strong business knowledge of electronic trading, ideally eFX but any other eTrading business would be beneficial
• A demonstrated understanding of how the business manages risk and generates P&L
• Experience with finance/trading combined with a solid foundation in software development
• Proven experience of designing and implementing analytics solutions for a market making business
• Proven collaboration with sales, trading and quantitative analytics, to design and implement both online and offline analysis in Java/Python, compute-efficient data pipelines along with reliable controls and UI’s to display information
• Experience of leveraging AI to generate analytical tools, queries, scripts and dashboards
• Experience of integrating with and leveraging AI to deliver LLM powered analytical capabilities
• Experience of producing model documentation and partnering with governance and second line of defense functions

Desired technical skills:

• Java (familiarity with low latency Java programming patterns such as lock free data structures and low-garbage programming techniques is beneficial)
• Python 3+
• KDB/Q
• Azure
• Docker / Kubernetes
• Airflow
• React.js
• PowerBI
• Parquet
• DuckDB
• Hands-on experience with LLMs and generative AI concepts(prompts / skills / context engineering / MCP APIs)
• Observability tools (Splunk / Loki / Grafana / Prometheus)
• You’re curious to explore how AI can improve how we build, del…