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Join us as a Financial Risk & Analytics Analyst

We’re looking for an analyst to support our strategic objective to inform business risk and reward decisions using our risk models

You’ll be providing interpretation and guidance on regulatory requirements relating to risk models

Gain valuable exposure and hone your expertise as you advance your career in this challenging role

This position is for an eight month period

What you'll do

As a Financial Risk & Analytics Analyst, you’ll be developing and maintaining compliant and fit-for-purpose models used in the bank’s risk management frameworks, including models that support automated decision making, capital calculation, provisioning and stress testing across all franchises.

You’ll also be:

Building analytics and models and integrating them into the analytics platform with cloud services

Helping with regulatory engagement in relation to risk models and model frameworks

Supporting the business by developing and maintaining risk models and decision support models, with a focus on improved effectiveness and efficiency

Conducting testing, back testing, and results analysis of the models developed

Identifying opportunities for improvement, both in terms of the models and measures produced, and the approaches and processes used within the team

Working effectively with other risk functions, the customer franchises and broader functions so that the model suite is integrated with other activities, ensuring effective and efficient delivery

Writing model documentations and making presentations to model stakeholders across management and model risk

The skills you'll need

We’re looking for someone with extensive experience in machine learning modelling with strong financial knowledge and experience of working in a modelling function.

You’ll need to hold a degree in a numerate discipline, with a track record in data driven analysis and statistical and mathematical modelling.

You’ll also demonstrate:

A background of project management, working as part of a team and sharing learnings from others

The ability to translate complex and statistical techniques into simple, easily understood concepts

Experience of the development and practical application of risk models, including scoring and model monitoring

A background of successfully using and deploying new data sources, approaches and tools

An understanding of statistical techniques, credit reference data, external agency data, credit systems, and databases toolsets