Regulatory body seeks a senior Quant for the role of Model and Data Assurance / Validation Expert
We are currently recruiting for a Model and Data Assurance / Validation Expert. The role is well suited to someone with a background in risk management associated with data and advanced analytics implementation and delivery, and/or other advanced model implementation.
The role interacts extensively with a wide group of stakeholders to help evaluate and oversee the organisation's data strategy agenda and capabilities and, where relevant, model development. This role will act as an expert point of context for the Risk second line of defence.
As a Technical Specialist, you will use data science techniques to validate the design and application of advanced analytics models. You will also use data science techniques to enhance risk oversight capabilities, and ensuring we are appropriately leveraging new tools and approaches to develop unique insight on the risks and mitigation. You will deliver analytical output that can be easily understood by non-technical internal clients that meets business needs quickly and effectively.
The post holder will play a key role in the development and implementation of risk advisory work as part of the data strategy. The role offers a varied set of exciting opportunities. These will include:
Key roles and responsibilities;
You will have the opportunity to significantly influence how we manage the deployment of data science methods and capability into its operations. This will help the organisation to be more effective and efficient in what it does, to the benefit of financial services consumers, and enhance public value.
Experience of risk advice, risk assessment and risk assurance methodologies and processes, with a core focus on gaining insight from aggregating relevant data sources and developing and using data analytical techniques and models, to facilitate independent risk oversight and challenge.
Experience in model development or validation in finance/risk management or quant role.
Experience of developing and implementing data integrity and model validation / assurance frameworks.
Experience of building and testing machine learning and other models.
Understanding and knowledge of best practice and guidelines relevant to overseeing data, analytical and wider portfolio risks.
Ability to deal with internal and external stakeholders through clear and professional communications both verbally and in writing.
Ability to present highly technical information and conclusions in a way that is coherent and impactful to non-technical audiences.
Ability to assess and independently assure analytical solutions including models that help the way we regulate and/or operate.
Ability to provide risk assurance including data integrity and model validation/assurance subject matter expertise confidently at senior management level using appropriate judgement to present clear conclusions and recommendations.
Excellent analytical and problem-solving skills with an ability to turn analysis into relevant output
Ability to work autonomously and as part of a team contributing toward strategic initiatives.
Be a highly motivated and independent thinker with an ability to confidently challenge in new environments.
Ability to develop robust risk frameworks and assessment tools.
Ability to provide training and assistance as required.
Experience of independently assessing data and analytics processes in other financial regulatory areas.
Ability to work well in a technical risk team where members come from diverse backgrounds and have different areas of experience and expertise.
Ability to both independently lead, and support colleagues, in multiple stakeholder engagements to assess and deliver complex projects.
Supporting and driving effective risk management and decision making
Morgan McKinley is acting as an Employment Agency in relation to this vacancy.
Please note that any references to salary or pay rates in this advertisement and in the salary refinement section are indicative only and should only be used as a guide.