Who we are looking for

　　An experienced professional to join the team as Vice President and Credit Modeling Manager based in New York, New Jersey, Connecticut, or Boston. This role is part of the Centralized Modeling, Analytics and Operations Group within Enterprise Risk Management's Financial Risk Organization.

　　Why this role is important to us

　　The team you will be joining plays an important role in the overall success of the organization. Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. To make that happen we need teams like yours to help navigate employees and the organization as a whole. In your role you will strive for cutting-edge solutions, that are straightforward and scalable. You will help us build resilience and execute day to day deliverables at our best. Join us if making your mark in the financial services industry from day one is a challenge you are up for.

　　What you will be responsible for

　　As Credit Modeling Manager you will:

　　Lead the Commercial Real Estate (CRE) modeling team to develop PD/LGD/EL models and CRE Valuation Engine Model to support credit risk analytical processes including Basel/CCAR/CECL/IFRS9Be hands-on and be able to develop CRE PD/LGD/EAD models and CRE Valuation Models.Review and enhance credit risk analytical methodology including modeling choices in line with expanding business and regulatory requirementsReview and verify key model assumptions with model ownersReview model outputs with properly justified opinions and judgments by experts from credit risk managers to capture forward-looking financial market and macro-economic outlooksImplement internally developed models on risk analytical library platformStreamline the existing modeling and analytical process; increasing the pace of execution to meet the needs of the businessEffectively mentor and manage a junior and senior modelers in a hybrid environment to deliver resultsWork in close partnership with the three lines of defense functions, such as model governance, Corporate Audit and Financial Regulatory Assurance to ensure appropriate governance and control infrastructure for credit risk analyticsPrepare and present required reports/reviews to model risk management, senior management and global regulators

　　What we value

　　These skills will help you succeed in this role:

　　Strong analytical and quantitative mindset; ability to take ownership and improve on existing risk models and methodologiesEnergetic/motivator: an enthusiastic individual with proven leadership skills and an ability to motivate a diverse, multi-level workforce and instill a sense of urgency on a range of evolving goals and objectivesOrganizational strengths: an ability to organize resources, processes and priorities to ensure business needs are met in a coordinated, responsive and timely manner, with minimal directionConfidence: a self-assured, experienced and knowledgeable individual able to quickly garner support for his/her views based on informed, well-presented direction or analysis, with a willingness to negotiate, and concede, when neededCommunicator: clear, confident, self-assured communication style, coupled with an ability to react and adapt to various audiences and environments without diluting effectiveness

　　Education & Preferred Qualifications

　　Master's degree, prefer PhD, in a quantitative field. Such as Economics, Statistics, Mathematics, Finance or equivalent10+ years of experiences for MS, 7+ years of experience for PhD, of developing credit risk modeling for wholesale portfolio in a financial institutionStrong programming skills in Python/R/SAS etc.Demonstrated experiences working with model development teams, analytical library development team and technologyProven ability to manage a team of junior and senior modelers

　　Salary Range:

　　$155,000 - $230,000 Annual

　　The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ.