AI Algo Quant Trader

Job description

We are looking for an AI Algo Quant Trader to join our algorithmic trading team in UBS Global Markets, specialising in FX Options.

This is a senior front-office role combining quantitative research, AI and trading. You will develop and deploy machine-learning-driven approaches to pricing, market-making, execution and automated risk management, taking ideas from research and large-scale data analysis through to live production.

You will also help shape the team's AI strategy, identify new opportunities and provide technical leadership across quantitative trading and AI.

Responsibilities

AI-Driven Trading Strategies

• Design, back-test and implement systematic trading strategies using quantitative, machine learning and AI techniques.

Advanced Quantitative Research

• Apply statistical learning, deep learning, time-series modelling and other modern AI methods to pricing, quoting, execution, liquidity and automated risk management.

Signal & Data Research

• Extract predictive information from large-scale market, trading and client datasets, developing robust features and models for noisy and non-stationary financial data.

Full Lifecycle Ownership

• Take models from research and validation through coding, deployment and real-time monitoring, with rigorous attention to out-of-sample performance, overfitting, model drift and changing market regimes.

Trading Performance

• Analyse strategy performance, PnL and risk exposures, using empirical evidence to enhance existing models and identify new trading opportunities.

Technical Leadership & Innovation

• Originate research ideas, challenge modelling assumptions, mentor colleagues and work closely with traders, quants and engineers to integrate AI-driven strategies into our e-trading platform.