Careers Center Risk, Retail Credit Risk Underwriting/Policy Role, Associate, Dallas in Dallas, Texas | Careers at 0714 012 K785 0000|Risk Division|Risk Administration|Risk Division Retail|Risk Please Enable Cookies to Continue Please enable cookies in your browser to experience all the personalized features of this site, including the ability to apply for a job. Returning Candidate?
Risk, Retail Credit Risk Underwriting/Policy Role, Associate, Dallas Location(s) US-TX-Dallas Job ID 2019-54360 Schedule Type Full Time Level Associate Function(s) Risk ManagementRegion Americas Division RiskBusiness Unit Risk Division Retail Employment Type Employee
MORE ABOUT THIS JOB
The Risk division is responsible for credit, market and operational risk, model risk, independent liquidity risk, and insurance throughout the firm.
We are seeking an associate level candidate to join the Credit Risk division team. The role will focus on data analytics, data insight generation, trend identification and data visualization to help understand credit risk drivers for unsecured consumer lending assets such as personal loans and credit cards.
Typical responsibilities and duties include the following:
Support credit risk management senior leadership in partnering with business units and broader Credit department to assess data availability, data sufficiency, and reporting needs
Design and write data queries to extract credit data from credit systems and conduct analysis of portfolio performance, deep dive analysis of trends, summarize findings and recommend changes
Ability to identify existing and emerging drivers of risk in a portfolio to drive guardrail design and proactive management of the portfolio.
Design and recommend changes to existing policies.
Create guardrails/ thresholds across various dimensions
Provide support for portfolio credit risk oversight and governance by tracking the actual performance of risk appetite and credit risk management metrics against approved guardrails
Create Management reporting using Tableau or other cutting-edge visual interface-based tools to monitor portfolio performance at portfolio segment level (e.g., product, vintage, risk segment, score band, or marketing channel)
Develop analytical reports and presentations for senior management, executive committees and regulatory exams.
Be up to date on applicable regulations and compliance requirements in consumer lending and provide support to Senior Leadership during interactions and updates to internal and external regulators
Adhere strictly to compliance and operational risk controls in accordance with company and regulatory standards, policies and practices
Address internal audit requirements and findings in a timely and appropriate manner
RESPONSIBILITIES AND QUALIFICATIONS
MINIMUM EDUCATION REQUIREMENTS/DEGREE AND FIELD:
Strong Quantitative/ analytical skill with Master's degree (U.S. or equivalent) in a quantitative discipline such as Mathematics, Statistics, Engineering, Data Science/Analytics or a related field like Information Systems, Business Analytics.
MINIMUM YEARS EXPERIENCE REQUIRED:
3+ years of experience in related industry
Prior work and academic experience must include:
Building, improving, or analyzing risk policies in a consumer or small business lending or similar data driven industries such as insurance
Experience in unsecured consumer lending (e.g., installment loans, credit cards) preferred and expertise with credit bureau data as well as familiarity with alternate credit related data sources
Experience in retail credit risk analytics including 2+ years of retail strategy with credit policy/underwriting criteria development, performing portfolio deep dive analytics including performance measurement and insight generation to influence credit policy
Utilizing knowledge of U.S. credit bureau data, Risk Scorecards to drive analysis and outcome
Use statistical packages like SQL, SAS, R, Python etc., tools to mine, manipulate & aggregate complex consumer and transaction level data on big data platforms such as Hadoop, Spark etc.
Use complex statistical techniques such as decision trees, regression modeling, machine learning, testing techniques and time series data analysis techniques.
Visualizing information/ trends from raw and complex data using visualization tools such as Tableau, and communicating results to a wide variety of audiences
Using advanced Microsoft Office skills, specifically Excel (including creation of pivot tables, logic functions), PowerPoint and Word
Strong writing, presentation and communication skills; technical writing and documentation experience desired
Strong project management / organizational skills and the ability to manage multiple assignments concurrently across various stakeholders.
Ability to do end-to-end project delivery.
ABOUT GOLDMAN SACHS
The Goldman Sachs Group, Inc. is a leading global investment banking, securities and investment management firm that provides a wide range of financial services to a substantial and diversified client base that includes corporations, financial institutions, governments and individuals. Founded in 1869, the firm is headquartered in New York and maintains offices in all major financial centers around the world.