Join us as a Financial Risk & Analytics Developer
- Were looking for a developer to support our strategic objective to inform business risk and reward decisions using our risk models and related AWS infrastructure.
- Youll be developing in Python programming language and providing support and guidance on technology requirements relating to financial risk models
- Gain valuable exposure and hone your expertise as you advance your career in this challenging role
- Were offering this role for a period of 9 months
As a Financial Risk & Analytics Developer, youll be developing and maintaining compliant and fit-for-purpose analytics and models used in the banks credit and risk frameworks developed in Python, including models that support automated decision making, capital calculation, provisioning and stress testing across all franchises. Youll be delivering analytics and performance MI relating to these models and for the development of new and enhanced approaches in support of improved business and customer outcomes.
Youll also be:
- 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
- Producing clear and well presented analysis, and provide actionable MI on all aspects of model performance
- 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
Were looking for someone with extensive financial services experience with a broad experience of risk systems, methodologies and processes in a retail or wholesale bank environment, as well as experience of working in a developer function or some related quantitative function.
Youll need to hold a degree in a numerate discipline, with a track record in data driven analysis in a AWS infrastructure with python programming.
Youll 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 python 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 with Amazon Web Service
- An understanding of statistical techniques, credit reference data, external agency data, credit systems, and databases toolsets
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