Risk ENG – Retail Parameter Quantification – Analyst

Local Jobs Goldman Sachs
  • United States, Dallas, TX 75201 View on Map
  • Post Date: June 18, 2020
  • Apply Before : July 18, 2020
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Job Description

MORE ABOUT THIS JOB:
ENGINEERING


What We Do
At Goldman Sachs, our Engineers don’t just make things – we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets.

Engineering, which is comprised of our Technology Division and global strategists groups, is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Want to push the limit of digital possibilities? Start here.


Who We Look For
Goldman Sachs Engineers are innovators and problem-solvers, building solutions in risk management, big data, mobile and more. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment.

RESPONSIBILITIES AND QUALIFICATIONS:

We are seeking an Analyst level candidate to join the Risk Parameter Quantification team responsible for generating the Basel parameters (PD, LGD & EAD) used for Capital estimation purposes complying with regulatory guidance.

Typical responsibilities of an Analyst level candidate in this team include the following:

  • Partnering with business units and broader Credit department to assess data availability, data sufficiency, and appropriate modelling approaches
  • Developing and monitoring the risk models and/or segmentation specific to the retail/securitization exposures
  • Quantification of the Basel risk parameters utilizing the models/segmentation
  • Documenting the model development/quantification procedures
  • Performing the ongoing Model/Segmentation validation tests assessing the strength/stability/accuracy of the models
  • Establishing requirements for data maintenance and management and working with Technology on implementation

Qualifications/Desired Skills:
  • Strong quantitative and analytical skills with a degree in a quantitative discipline (Statistics, Mathematics, Applied Mathematics etc.). Master’s degree preferred.
  • Strong Excel skills and experience using a data querying language (SAS, SQL)
  • Strong writing, presentation and communication skills
  • Strong project management / organizational skills and the ability to manage multiple assignments concurrently

ABOUT GOLDMAN SACHS:

ABOUT GOLDMAN SACHS
At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.

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.

We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html

© The Goldman Sachs Group, Inc., 2020. All rights reserved.
Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity

 

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