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Quant Analytics Manager - Credit Risk ModelingKeyCorp • Brooklyn, New York, United States
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Quant Analytics Manager - Credit Risk Modeling

KeyCorp
  • US
    Brooklyn, New York, United States
  • US
    Brooklyn, New York, United States
Postuler Maintenant

À propos

Location: 4900 Tiedeman Road, Brooklyn Ohio Job Overview
The Quantitative Analytics Manager is primarily responsible for leading the development and validation of predictive and machine‑learning models for specific business needs using statistics, advanced mathematical techniques, and/or computer science. The role leverages advanced mathematical knowledge, business partnerships, and data analysis to provide solutions to predictive and prescriptive questions such as “What will happen next?” and “What will we do?” Projects are often broad in scope across multiple business segments and involve guiding a team through solutions that harness statistical best practices or emerging techniques. Success Factors
Demonstrating leadership through strong communication, conflict resolution, and coaching to develop technical skills. Managing competing priorities and presenting holistic, thoughtful analyses to answer partner problem statements. Prioritizing multiple projects and meeting tight deadlines while collaborating effectively. Communicating technical theories, observations, and models to non‑technical audiences. Leveraging strategic, business, and competitive insights to connect daily work to the broader business picture and drive efficiency. Essential Job Functions
Create and leverage models, inferential statistics, and prescriptive analysis to proactively solve business problems and answer “What will happen and what should we do about it?” Handle large, complex problems with broad implications; recommend solutions based on context, connections, and conclusions. Review deliverables and coach others on approach and work quality. Lead and evangelize best practices for capturing and retaining data. Coordinate with data stewards, anticipate needs, and improve data procedures for efficiency. Recommend the best analysis method for each situation. Required Qualifications
Master’s degree (or equivalent) in statistics, mathematics, economics, financial engineering, data sciences, predictive modeling, or other quantitative disciplines and at least 5 years of relevant experience; or Bachelor’s degree (or equivalent) in the same fields and at least 6 years of relevant experience. Preferred Qualifications
10 or more years developing scorecard models in the financial services industry in credit risk management or fraud. Data Literacy
Knowledge of best practices for capturing and retaining data. Understanding of pros and cons of competing analysis methods. Experience leading by partnering with others to anticipate and understand needs. Leading information practices, policies, and procedures; setting standards and expectations for data analysis tools and techniques; ensuring compliance with application and promoting increased efficiency with clearer data requirements. Technology & Techniques
Advanced Microsoft Office Suite, SQL/NoSQL, relational database design, data retrieval including unstructured data retrieval, archival, and ETL. Advanced Python/R/SAS skills for efficient coding and strong code controls. Ability to translate code into high‑level commentary. Knowledge of cloud‑based computing, distributed computing. Model Building & Maintenance
Establish standards and best practices; forecast future modeling tools and techniques. Identify, employ, and evangelize emerging techniques from industry and research. Coach others on data modeling methods and facilitate sessions for complex data models. Assess risks, develop contingency plans, and communicate observations to senior executives. Translate technical observations to a non‑technical audience. Expected Competencies
Leadership:
Demonstrated leadership, may have direct reports, accountable for work, proactive coaching, executive presence, and influential partnership skills. Partnering / Influencing:
Engage and partner at mid‑to‑senior leadership levels, collaborative partner reputation, and persuasive influence. Business Acumen:
Understand business line, strategy, competition, anticipate needs, and contribute materially to strategy. Critical Thinking / Problem Solving:
Anticipate partner needs, see the bigger picture, advise leaders, and make decisions with long‑term strategy in mind. Communication:
Excellent writing and presentation skills, effective messaging at senior levels, conflict resolution, and executive presence. Compensation and Benefits
This position is eligible to earn a base salary in the range of $116,000.00 - $216,000.00 annually. Placement within the range may differ based on skills, experience, and geographic location. Compensation also includes incentive eligibility for production, commission, and discretionary incentives. Expiration Date
07/20/2026 Equal Employment Opportunity Statement
KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status, or any other characteristic protected by law. Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing HR_Compliance@keybank.com.
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  • Brooklyn, New York, United States

Compétences linguistiques

  • English
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