Credit Risk Analytics AVP

This job is with State Street, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

Who we are looking for

A strong credit risk analytics person to join the Credit Risk Management Group within Enterprise Risk Management's Financial Risk Organization as

Assistant Vice President

based in New York / Jersey / Connecticut, US.

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 industry best risk management practice, and 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 Risk Analytics AVP

you will :

Work with credit risk modelers from Centralized Modeling, Analytics, and Operations Group (CMAO) to develop or enhance credit risk models (e.g., PD / LGD / EAD) used in critical risk management processes such as CECL / BASEL / CCAR / Quarterly Stress Testing.

Review and verify model assumptions and limitations with credit risk modelers.

Perform model executions for various risk management processes and conduct output analysis by working with credit risk modelers, credit risk experts, and economists to ensure results align with given economic scenarios and portfolio characteristics.

Work with CMAO for production cycle credit loss results of CECL / CCAR / Quarterly Stress Testing processes and model overlays.

Conduct sensitivity analysis to evaluate the impact on credit risk metric or model output to variations in key inputs; draw meaningful conclusions on the robustness of credit risk tools in relation to intended usage scenarios.

Conduct attribution analysis to identify and quantify the impact of factors (e.g., scenarios, portfolio composition, model overlays) on observed or forecasted outcomes.

Work with the credit risk team to document and present the credit risk analysis to ensure traceability and transparency.

Work with the credit risk team in enhancing automation within sub-processes to improve efficiency, reduce manual effort, and streamline operations.

Explore the use of advanced analytics or machine learning in the process of credit risk management.

What we value

These qualities will help you succeed in this role :

Strong passion and curiosity in risk management, especially in the credit risk domain.

Strong analytical and quantitative mindset; ability to take ownership and improve on existing risk models and methodologies

Energetic / 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 objectives

Organizational strengths : an ability to organize projects, processes and priorities to ensure business needs are met in a coordinated, responsive and timely manner, with minimal direction

Confidence : 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 needed

Communicator : 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

PhD / Master in economics / mathematics / statistics / engineering or equivalent.

Undergraduate training in mathematics and probability theory (measure theory) with good knowledge of stochastic calculus is a big plus.

For Master's Degree, 5+ years of experiences of credit risk modeling / analytics for in a financial institution is required.

Strong programming skills in Python / R / SQL / Power BI etc.

Strong communication skills in English (in both written and oral communication).

Demonstrated experiences working with model development teams, analytical library development team and technology

Motivated and fascinated in how to apply statistics and econometric methodologies to resolve credit risk modeling challenges in financial industry

Are you the right candidate? Yes!

We truly believe in the power that comes from the diverse backgrounds and experiences our employees bring with them. Although each vacancy details what we are looking for, we don't necessarily need you to fulfil all of them when applying. If you like change and innovation, seek to see the bigger picture, make data driven decisions and are a good team player, you could be a great fit.

About State Street

What we do.

State Street is one of the largest custodian banks, asset managers and asset intelligence companies in the world. From technology to product innovation, we're making our mark on the financial services industry. For more than two centuries, we've been helping our clients safeguard and steward the investments of millions of people. We provide investment servicing, data & analytics, investment research & trading and investment management to institutional clients.

Work, Live and Grow.

We make all efforts to create a great work environment. Our benefits packages are competitive and comprehensive. Details vary by location, but you may expect generous medical care, insurance and savings plans, among other perks. You'll have access to flexible Work Programs to help you match your needs. And our wealth of development programs and educational support will help you reach your full potential.

Inclusion, Diversity and Social Responsibility.

We truly believe our employees' diverse backgrounds, experiences and perspectives are a powerful contributor to creating an inclusive environment where everyone can thrive and reach their maximum potential while adding value to both our organization and our clients. We warmly welcome candidates of diverse origin, background, ability, age, sexual orientation, gender identity and personality. Another fundamental value at State Street is active engagement with our communities around the world, both as a partner and a leader. You will have tools to help balance your professional and personal life, paid volunteer days, matching gift programs and access to employee networks that help you stay connected to what matters to you.

State Street is an equal opportunity and affirmative action employer.

Discover more at StateStreet.com / careers

Salary Range :

$110,000 - $170,000 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.

Job Application Disclosure :

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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