FX - Agentic AI for E-Trader & Algo Workflows

UBS•New York, NY

7d•$225,000 - $242,500•Onsite

About The Position

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, including 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, 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.

Requirements

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
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)
Curiosity to explore how AI can improve how we build, deliver, and optimize workflows, with sound judgment – validating outputs and aligning with policies, risk standards, and ethical use.

Responsibilities

Operating within a high-performing quantitative development team, whose goals are directly aligned to the success of the business
Taking ownership of initiatives from initial requirement, through, analysis, design, implementation and delivery
Proactively suggesting and driving through improvements to the platform and our framework
Working in partnership with the eTrading and Quantitative Analyst team to deliver analytics capabilities that will optimise the competitiveness and profitability of the eFX business
Understanding the financial and technical implications of the decisions and implementation choices made
Working across the full analytics stack, showing flexibility by working with the right data and technology stack for a given problem
Keeping the business at the forefront of technology, by identifying and implementing use cases for machine learning and AI where appropriate
Being 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
Contributing to shared analytical tools that are utilised by all eTrading businesses within Principal Flow Trading
Willingness to work with a global team across different timezones