BNY Mellon powers individuals and institutions to succeed in the global economy providing investment management, investment services and wealth management. BNY Mellon is the corporate brand of The Bank of New York Mellon Corporation (NYSE: BK).
With a dedicated business presence on six continents and in 35 countries, BNY Mellon delivers global scale at the local level.
The Global Delivery Centre in Wroclaw is a growing location, predominately providing support services to BNY Mellon entities in the areas of fund accounting and investment operations.
With large and global operations, model risk underlies much of what we do. The Model Risk Management Group (MRMG) oversees all of the bank’s modelling. It sets standards for development and approves all models before they are used in the firm. Through intense interrogation of methodologies and comparison with its own models, the team aims to root out how each model will fail and ensure controls are in place. MRMG operates as a global group; the team in Poland is an integral part with highly visible roles, including leadership positions. Decisions are reported to Senior Management and the Board of Directors on a regular basis. The role provides constant quantitative challenges and growing opportunities due to the diversity of projects.
As a Model Risk Specialist you will be responsible for reviewing credit scorecards (both judgemental and statistical). This requires challenging the construction of the card and designing and executing tests for assumptions and outcomes. The role may require building benchmarks (shadow frameworks) that run alongside those in production, allowing MRMG to monitor performance in real time. You will be guided by more senior colleagues that help establish the validation scope. The work is highly independent and requires responsibility and accountability for accuracy and quality.
•Master's Degree/PhD in a quantitative discipline (engineering or mathematics or physics or statistics or econometrics)
•The candidate must have a superb quantitative and analytical background with a solid theoretical foundation,
•Understanding of design, development, and implementation of credit risk scorecards
•1-2 years of experience after Master’s degree (for strong candidates with PhD title experience is not mandatory),
•Programming skills in one of those languages: R, Python, Matlab or similar,
•Good communication skills.
The candidate should have a strong interest in: financial engineering or products of financial markets or statistics or econometric modeling or data science or machine learning.
• 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
• A multitude of opportunities to get involved in charity projects and Employee Resource Groups (ERGs)