Credit Risk Data Science Jobs in Hempstead, NY (NOW HIRING)

Morgan Stanley ("MS") is a global financial services firm that conducts its business through three principal business segments-Institutional Securities Group ("ISG"), Asset Management ("AM") and Wealth Management ("WM). WM includes almost 16,000 Financial Advisors and Private Wealth Advisors and offers comprehensive financial services to clients, such as brokerage, investment advisory, financial and wealth planning, annuities, insurance, retirement. In addition, the Private Banking Group ("PBG") offers WM clients cash management and lending solutions.

Job Summary

The PBG is building its first-line credit risk team to enhance credit risk oversight and activities across multiple-lending products. This role sits at the center of credit risk oversight, translating portfolio data into actionable insights and driving alignment across risk, business, and finance stakeholders. This is not a pure data science or model development role.

The candidate is expected to adapt and take on a variety of tasks but will be primarily focused on supporting ad-hoc reporting requests and helping to design and build automated reporting solutions. The role requires a minimum proficiency in data and reporting combined with a strong understanding of credit risk concepts applicable to private banking lending products such as Securities-based lending, Tailored Lending, Residential Mortgages, and Commercial Real Estate lending.

Success in this role is defined by the ability to use data and tooling to frame risk issues, guide decision-making, collaborate across multiple stakeholders, leverage firm-approved AI tools, and influence outcomes.

Job Description/Position Responsibilities

• Gather, organize and transform complex data to deliver timely, accurate, and actionable insights and reports to support credit risk decision-making and strategic projects and initiatives.

• Analyze and track portfolio metrics such as originations, limit monitoring, KRIs, loan quality, stressed credits, etc. by running data analytics across multiple databases to enable greater visibility of risk across the organization.

• Support and help drive the oversight, coordination and management of stressed credit exposures across lending products and supporting and managing working group forums and risk committees.

• Track progress on team initiatives, drive continuous improvement and efficiency, maintain documentation, drafting policies and procedures, mapping out processes, building decks and reports for senior management and regulators, etc.

• Partner with stakeholders across multiple legal entities, businesses, financial and non-financial risk organizations, etc. to drive data-driven risk management initiatives.

Additional Experience and Skills

• Minimum of 4 years of experience in financial services with emphasis on portfolio analytics and risk management.

• BA in finance, economics, accounting, business, statistics or math; Advanced degrees / certifications are a plus.

• Proficiency in data analysis and visualization tools (e.g., Python, SQL, Tableau, Power BI) to support insights / reporting.

• Skill using firm-approved AI tools to enhance analysis and productivity within governance frameworks preferred.

• Solid understanding and experience working with databases and snowflake is preferred.

• Experience designing automated reporting pipelines utilizing Python or SQL is preferred.

• Experience translating regulatory and underwriting standards into data-driven controls is a plus.

• Excellent interpersonal and communication skills; detail-oriented and effective in fast-paced environments.

• Experience presenting analysis or risk insights to non-technical stakeholders or senior management is strongly preferred.

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

At Morgan Stanley, we raise, manage and allocate capital for our clients - helping them reach their goals. We do it in a way that's differentiated - and we've done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you'll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work.

To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.

Expected base pay rates for the role will be between $85,000 and $140,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.

Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.

Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.

For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo.