Model Developer in Finance

Description

We offer:

• To work with some of the best professionals in the business - for a firm that values individual intellect as much as teamwork
• State-of-the-art offices in the City Centre that are designed to maximize collaboration
• Flexible working arrangements (core hours and opportunity to work from home)
• Enriching challenges that provide opportunity for constant learning and advancement
• An environment which is leveraging technology to its highest potential

You will:

• Help to implement, maintain, and execute CCAR-related (Comprehensive Capital Analysis and Review) statistical and analytical Pre-Provision Net Revenue (PPNR) and balance sheet forecasting models
• Coordinate across business and functional teams during model development process
• Maintain existing CCAR-related statistical and analytical forecasting models, presentations, and documentation, including quarterly performance monitoring process
• Drive strong partnerships / coordination with Business Units and functional areas and Model Risk Management and engage in review and challenge processes of Business Unit CCAR PPNR and balance sheet forecasts
• Assist in developing value-add analytics for the strategic management decision-making process
• Develop and implement enhancements of critical financial forecasting policies and procedures
• Complete ad-hoc analysis and presentations for senior management

Team Profile:

Infrastructure FP&A makes sure books and records are correct for Morgan Stanley's support areas, reviews actual cost pools and is responsible for financial planning for the support services of the Firm. As part of the monthly reporting, this group prepares global management reporting packs with analysis and commentary.

Within FP&A, the CCAR model development team is responsible for developing new and enhancing the current forecasting models for the Federal Reserve's regulatory framework (CCAR).

Qualifications

You have:

• Bachelor's or Master's degree in Economics, Math / Statistics or related field
• Minimum 3 years relevant work experience - in Economics, Math / Statistics or related field
• Strong knowledge of statistical modelling and econometrics (especially time series analysis)
• Proficiency in a (statistical) programming language
• Strong analytical and problem solving skills
• Ability to manage processes from end-to-end to ensure successful and timely delivery of requirements
• Effective time management and ability to meet tight deadlines and handle pressure situations
• Confident command of English

You might also have:

• Experience in R programming is preferred
• Background in revenue forecasting or macroeconomic planning is an advantage
• Familiarity with CCAR / DFAST and relevant regulatory stress test topics preferred

For further information, and to apply, please visit our website via the “Apply” button below.