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Credit Risk Modeling Manager

GoogleChicago, IL, USA

Minimum qualifications:

  • Bachelor's degree in Business, Finance, Economics, Statistics, or another quantitative field, or equivalent practical experience.
  • 7 years of experience in financial planning and analysis (FP&A), consulting, or a related function, or an advanced degree.
  • Experience building credit models.
  • Experience with SQL, advanced investigative tools (e.g., R and Python), and machine learning techniques (e.g., TensorFlow).

Preferred qualifications:

  • Experience with building data infrastructure (e.g., designing architecture, building data pipelines) and implementing reporting solutions.
  • Experience in developing strategies in a changing environment and utilizing impeccable business judgment for resource allocation to achieve business outcomes.
  • Experience leading operational initiatives across multiple products, functions, and geographies.
  • Ability to work with data to produce analysis, influence decision making with numerical analysis, and generate insights.
  • Ability to take ownership, interact with stakeholders at all levels, set objectives, drive results, and act as a team player.
  • Excellent communication skills with the ability to collaborate across a wide variety of departments.

About the job

Business Analysts ensure that Google makes effective business and operational decisions. As a Business Analyst, your work, whether it's modeling business scenarios, tracking performance metrics or building metrics that matter, is used by our leaders to make strategic company decisions. Working on multiple projects at a time, you'll focus on the details while finding creative ways to take on big picture challenges. You'll lead individual projects to transform planning, tracking and control processes, as well as provide executive level management with insightful recommendations, planning and reporting support.

As Credit Risk Modeling manager, you will manage the design and implementation of a quantitative risk strategy to support effective management of credit risk. You will maintain and enhance existing credit risk scoring, credit limit decisioning, risk identification, and associated model capabilities, while developing new AI-driven solutions to help manage risk. You will deliver insights and models that help Credit and the business make more informed decisions.The name Google came from "googol," a mathematical term for the number 1 followed by 100 zeros. And nobody at Google loves big numbers like the Finance team when providing in depth analysis on all manner of strategic decisions across Google products. From developing forward-thinking analysis to generating management reports to scaling our automated financial processes, the Finance organization is an important partner and advisor to the business.

The US base salary range for this full-time position is $137,000-$201,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

  • Manage and develop a quantitative credit risk strategy for customers across all product areas globally.
  • Develop and enhance credit models and scorecards to predict the credit risk of Google’s customers.
  • Apply statistical and segmentation tools to develop/optimize risk strategies for customer segments and products.
  • Generate insights to drive improved credit decision making.
  • Create a compelling goal for the future, and communicate it clearly to influence CARMA and Payments engineering teams to optimize risk modeling processes.

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Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
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