Data Scientist
Role details
Job location
Tech stack
Job description
- engage in audits to analyze data using traditional machine learning or Large Language Models to uncover trends, patterns, or anomalies for auditors to investigate further.
- work collaboratively with stakeholders to assist in risk assessments and highlight high-risk areas for deep dives.
- clearly communicate complex insights derived from analytics to senior stakeholders in a manner that is both engaging and impactful.
- stay up to date with advancements in AI, ML, and NLP to implement cutting-edge solutions, such as working with the latest Large Language Models (LLMs).
- provide auditors with training and support, as required, to effectively use data-driven tools and solutions.
Your team You will be working in the Group Internal Audit (GIA) team in London. GIA is an independent function that supports UBS in achieving its strategic, operational, financial, and compliance objectives. We do this by assessing key processes, governance, risk management, and the control environment within all Business Divisions and Group Functions globally. We are independent in our work and report directly to the Chairman of the Board and the Audit Committee.
We are a talent powerhouse that attracts and develops the best people by driving career growth in and outside the department. Our GIA innovation team supports GIA's mission and vision by empowering all staff to embrace innovative automation and data analytics tools and techniques. In your role, you will maintain relationships with audit teams, supporting them with audit and risk assessment analytics through both ad-hoc and repeatable/automated solutions.
Requirements
Do you have experience in Pandas?, Do you have a Master's degree?, * bachelor's or Master's degree in a relevant field (e.g., Economics, Statistics, Data Science, Computer Science)
- experience working as a data scientist building innovative solutions, preferably within the financial services industry
- strong foundation in statistics including hypothesis testing
- expertise in data wrangling using Pandas, Numpy, etc.
- expertise in Machine Learning algorithms (e.g., regression, classification, decision trees, SVMs, etc.)
- experience in Natural Language Processing (NLP) techniques and working with Large Language Models (LLMs) like Chat GPT for text generation, classification, or topic discovery.
- experience in fine-tuning pre-trained models to improve their performance on specific tasks.
- strong communication and interpersonal skills, with the ability to grasp technical concepts and communicate them effectively to various audiences.
- able to work effectively as an individual contributor with minimal supervision.
- self-motivated and proactive team player, who takes ownership and accountability of projects, has strong organizational skills, and the ability to effectively manage competing priorities.
- experience delivering projects within an Agile methodology framework.