• Risk Engineering | Retail Loss Forecasting - Associate

    Location(s) US-TX-Dallas
    Job ID
    Schedule Type
    Full Time
    Engineering, Technology
    Business Unit
    Risk Engineering
    Employment Type



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    Job Summary

    We are seeking an Associate level candidate to join the Risk Engineering team focusing on Loss Forecasting process for unsecured consumer lending assets.  This position will be responsible for delivering analytical support for Loss Forecasting activities, typical responsibilities and duties include the following:

    • Support Risk Engineering leadership in partnering with business units and broader Risk 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 loss forecast process, and proactive management of the portfolio.
    • Gathers and analyzes portfolio and macro-economic data to determine potential impact on business performance, and integrate the trends to the portfolio loss forecasts.
    • Provide support for portfolio credit risk loss forecast and governance by tracking the actual performance to expectations.
    • Create Management Loss Forecast 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.
    • 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

    Basic Qualifications

    • 2 years of financial modeling, loss forecasting and business analytics related experience
    • 3+ years of experience in related industry
    • 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.
    • Experience in retail credit risk analytics of retail strategy with  credit policy/underwriting criteria development, performing portfolio deep dive analytics including performance measurement and insight generation to influence credit policy (preferred)
    • Experience with statistical techniques including segmentation, decision trees and other advanced risk predictive modeling methods
    • 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.



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    We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.

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