Senior Manager, Portfolio Analytics

Shawbrook Bank ,
London, Greater London
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Job Description

The Role Shawbrook is a specialist UK lending and savings bank founded in 2011 to serve the needs of SMEs and individuals in the UK with a range of lending and savings products. We differentiate ourselves by concentrating on markets where our specialist knowledge and personalised approach to underwriting offer us a competitive advantage. This supports attractive stable returns and sustainable growth and benefits businesses and consumers in parts of the market which continue to be poorly served by traditional high street banks. Fundamental to our success is a relationship focus which puts the interests of our customers and business partners at the heart of everything we do, built on a culture which stresses the use of our experience and judgement to make decisions that balance risk, return and customer need. We are looking for a Senior Manager, Portfolio Analytics to join our team based in London. As a Senior Manager, Portfolio Analytics you will lead in the development, documentation and embedding of analytic methodologies, tools and processes to enable stress testing, economic forecasting, Cost-of-Risk budget planning and risk appetite setting. The Senior Manager, Portfolio Analytics will be accountable for bank-wide programs whilst working closely with the CRO and Head of Risk & Portfolio Analytics to support and drive the divisional strategy and frameworks. Responsibilities Strategic * Establish effective working relationship with stakeholders and colleagues across the bank including Group Risk, Finance, IT and divisions * Develop and continuously enhance analytic methodologies, tools and processes in supporting capital requirement assessment (ICAAP/Stress Test), CoR planning and RWA optimization * Responsible for economic forecast house-views and derived economic scenarios driving IFRS9 impairment and other business use * Develop predictive capabilities on portfolio performance & its dynamic trend * Promote CGS risk rating embedding into business processes * Develop standards and guidelines on risk-based pricing and credit score cut-off * Responsible for IFRS9 impairment forecast modelling and process * Analytics to enable risk appetite and trigger setting * Due diligence of all Portfolio Analytics * Define and contribute to model risk management framework improvement and embedding * Coaching and train divisions as required using the exchange of complex analytical data Operational * Conceptualizing analytic solutions to resolve business challenges or needs * Define and build model and SAS coding * Handling large datasets from multiple sources including 3rd party providers * Understand bank's data systems and structures, identify opportunities to promote embedding of CGS into business strategies and processes. * Standardize SQL/ Excel based models for ease of execution and governance * Undertake portfolio deep dive analysis to support regulatory requirements and due diligence * Oversight of in-house model building & validation as required * Ensure all models are fully documented and conform to development standards Relationships * Work closely with group functions and divisions stakeholders to establish constructive and effective relations * Work with data/system team to fully understand bank's data systems * Provide technical support / knowledge transfer to other analysts and divisions as required * Liaise with the credit policy team to link modelling activity to policy * Collaboration with peers and other analytic colleagues and share best practice * Support line manager on general team management matters Knowledge Gathering * Establish good understanding of financial services and risk management * Have solid and broad knowledge of credit scoring and risk rating, impairment forecast, econometric modelling, IRB models and capital requirement methodologies * Become portfolio analytics and modelling expert, able to conceptualize business requirement into analytic/model solutions * Understand data availability, structure, definitions and formats. Knowledge of how to make it analytically valuable * Identify any data quality issues that may affect modelling * Excellent project management know-how The Person * Degree educated in a strong quantitative discipline such as Applied Mathematics / Statistics, Econometrics, Operational Research or Engineering etc. * Circa 10 years' experience of modelling in financial services or equivalent * Strong analytical background with advanced modelling experience in regression, econometrics, time series, simulations and optimization. * Substantial experience in credit risk and capital adequacy * Good knowledge of credit scorecards and IRB models. First hand scorecard/IRB modelling experience will be an advantage. * Understanding of the regulatory environment affecting financial service companies * Experience of working with Senior stakeholders * Strong SAS skills * Strong Microsoft skills in Excel, Word and Power point. VBA/SQL experience would be advantageous Banding This r

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