FX Quant Analytics Developer – Real-Time & AI-Driven

UBS; New York (NY); On-site; USD 225,000 - 243,000; Full time

Job summary

UBS in New York is seeking an experienced quantitative analytics developer for the eFX platform within Global Markets. You will own analytics from requirements to delivery, partnering with eTrading and Quant teams to build high-performance tools and dashboards.

You will apply ML/AI techniques, ensure risk considerations, and contribute to the analytics framework used across Principal Flow Trading. This role emphasizes real-time analytics and cross-team collaboration.

Qualifications

• Strong knowledge of electronic trading, ideally eFX.
• Understanding of how the business manages risk and generates P&L.
• Experience in finance/trading with software development.
• Proven analytics solutions for a market making business.
• Collaboration with sales, trading and quantitative analytics to design online and offline analysis in Java/Python, compute-efficient data pipelines with reliable controls and UI.
• Experience leveraging AI to generate analytical tools, queries, scripts and dashboards.
• Experience integrating with and leveraging AI to deliver LLM powered analytical capabilities.
• Experience producing model documentation and partnering with governance and second line of defense functions.

Responsibilities

• Own analytics initiatives from initial requirements through analysis, design, implementation and delivery.
• Proactively suggest and drive platform improvements across the framework.
• Collaborate with eTrading and Quantitative Analytics to deliver analytics capabilities for competitiveness.
• Understand financial and technical implications of decisions and implementations.
• Show work across the full analytics stack and select appropriate data/tech.
• Identify and implement AI use cases for machine learning where applicable.
• Contribute to shared analytics tools used by all eTrading businesses in Principal Flow Trading.
• Work with a global team across time zones.
• Backtest and regression test different risk and configuration models.
• Support real-time risk and position analytics and ad-hoc research.

Skills

electronic trading

risk management

software development

analytics solutions

AI/LLM analytics

Tools

Java

Python

KDB/Q

Azure

Docker/Kubernetes

Airflow

React.js

PowerBI

Parquet

DuckDB

LLMs / AI concepts

Observability tools

Job description

UBS in New York is seeking an experienced quantitative analytics developer for the eFX platform within Global Markets. You will own analytics from requirements to delivery, partnering with eTrading and Quant teams to build high-performance tools and dashboards.

You will apply ML/AI techniques, ensure risk considerations, and contribute to the analytics framework used across Principal Flow Trading. This role emphasizes real-time analytics and cross-team collaboration.