Data Analyst- Credit Risk

SUMMARY

The Data Analyst will employ data science methodologies to ensure loan portfolio data integrity to be utilized in credit loss forecasting and management reporting.

ESSENTIAL DUTIES & RESPONSIBILITIES

• Responsible for the monthly production of loan impairment actual and portfolio analytics.

• Fully learn and understand all aspects of processing within Impairment Studio with the help of Moody’s internal support team.

• Create Policy and Procedure documents for CECL reserves using Loss Rate and PD/LGD.
• Support Portfolio Managers and /Underwriters with finalizing PD / LGD calibrations using Moody’s Credit Lens and Commercial Mortgage Metrics platforms.
• Work with Bank’s 3rd party consultants on future aspects of the final/ new implementation packages.
• Review the broad loan portfolio (PD/LGD down to the loan/facility level).
• Work hand in hand with Credit Underwriting and Portfolio Management (Review the loan ratings, PD/LGD output match between CL/CMM and ACBS, Ensure general accuracy of outputs).
• Review ACBS files (General balances, Funded vs Unfunded, C&I vs CRE, Other ad hoc).

QUALIFICATIONS

• Ability to use accounting/financial techniques/tools and attention to detail for Impairment accuracy and integrity though analytics

• Knowledge of Portfolio risk management including credit risk lifecycle and it’s impacts on the drivers of impairment

• Documentation of existing processes and models to a required standard as defined by the internal & external auditors and other governance bodies
• Ability to deal with complex problems/issues, hypothesis testing via data analysis
• Advanced statistical analysis and experience working with large data sets

EDUCATION & EXPERIENCE

• Minimum Required: Bachelor’s degree in Information Technology, Computer Science or Business Administration or equivalent work experience or equivalent work experience.

• Minimum Required: 1+ years' of investment, financial or technical experience

SYSTEMS & TECHNOLOGY

• Proficient in Microsoft Excel, Word, PowerPoint, Outlook, and Microsoft T-SQL

• Must have experience with one of following scripting languages: SQL, SAS

• Practical experience with Excel, Power BI, Python and/or R

ABOUT STIFEL

Established in 1890, Stifel is one of the nation’s leading full-service wealth management and investment banking firms. Stifel serves clients from more than 400 offices across the United States and ranks as the nation’s seventh largest full-service investment firm in terms of number of financial advisors. We are also a leading provider of investment banking services to the middle market, a top-ten municipal bond underwriter, and home to one of the industry’s largest research franchises. In addition our Stifel Bank subsidiary provides a comprehensive range of banking services.

At Stifel we offer an entrepreneurial environment, comprehensive benefits package to include health, dental and vision care, 401k, wellness initiatives, life insurance, and paid time off.

Stifel Bank is an affirmative action and equal opportunity employer. All candidates will be considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, veteran status, genetic information or any other protected characteristic under applicable law.