ABOUT BNY MELLON
BNY Mellon is a global investments company dedicated to helping its clients manage and service their financial assets throughout the investment lifecycle. Whether providing financial services for institutions, corporations, or individual investors, BNY Mellon delivers informed investment and wealth management and investment services in 35 countries. As of March 31, 2021, BNY Mellon had $41.7 trillion in assets under custody and/or administration, and $2.2 trillion in assets under management. BNY Mellon can act as a single point of contact for clients looking to create, trade, hold, manage, service, distribute or restructure investments. BNY Mellon is the corporate brand of The Bank of New York Mellon Corporation (NYSE: BK). Additional information is available on www.bnymellon.com Follow us on Twitter @BNYMellon or visit our newsroom at www.bnymellon.com/newsroom for the latest company news.
Remote work is an option.
The Specialist (Financial Modeling Analyst) will contribute to highly visible enterprise-wide modeling programs, dedicated to a specific area of the business. The models make estimates that are a key input to management decisions and are reported to Senior Management and the Board of Directors on a regular basis. The role will be to execute corporate-wide standards for model development. The incumbent will be responsible for identifying problems that can be solved by the application of financial theory and building models which improve the firm's operations. The incumbent may work in one of five disciplines, each responsible for a different type of modeling:
1) Credit Risk Modeling
2) Treasury Modeling
3) Market Risk Modeling
4) Pricing Modeling
5) Forecasting Execute corporate-wide standards for model development by creating options for theoretical frameworks, collecting data needed, supporting assumptions, and reviewing outcomes. Work will align to the development scope established by more senior colleagues. Support the validation of models,, the incumbent is expected to provide testing and analysis at the request of Model Risk Management. Support the use of models,, the incumbent is expected to execute models in accordance with approval conditions and communicate results to management. The incumbent will be responsible for performance monitoring of models, identifying possible deterioration by comparing outcomes to established thresholds. No formal supervisory responsibility. Primarily responsible for the accuracy and quality of own work . Modified based upon local regulations/requirements.
- Master's Degree/PhD in a quantitative discipline, including engineering, mathematics, physics, statistics, economics.
- The candidate must have a superb quantitative and analytical background with a solid theoretical foundation coupled with strong programming, documentation and communications skills.
- 0-2 years of experience. Must have experience with complex quantitative modeling, numerical analysis, and computational methods using programming languages (MATLAB, R, Python) as well as mathematical/statistical software packages.
- Must be extremely focused, detail oriented, results oriented and highly productive. Must have a proven track record of being able to efficiently and effectively conduct independent research, analyze problems, formulate and implement solutions, and produce quality results on time.
- The candidate must have excellent scientific and technical documentation and presentation skills, assertiveness & influencing skills, and the skills to explain abstract theoretical concepts to a non-expert audience in easy-to-understand language.
- Full time contract of employment
- City Centre locations close to main railway station and flexible working arrangements
- Flexible benefits package, including life and medical insurance, health screening, fitness discount programme, employee assistance program
- Award-winning Wellbeing Program supporting you with your unique health and wellbeing needs
- Pension scheme
- On-site childcare and a parental buddy programme
- Exciting opportunities for career and global mobility
- Diverse and inclusive environment
- Employee Referral Program
- Recognition programmes