KeyCorp

1 week ago

Model Risk - Quantitative Analytics Manager

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 20 hours agoStatus: Live

Job Summary

Lead the validation of predictive and machine-learning models for key business needs, applying statistics and advanced mathematical techniques to answer predictive and prescriptive questions. Manage and review complex analyses, coach others on modeling and data practices, and recommend best approaches based on context and risk. Communicate technical insights to senior executives and non-technical partners, while improving data procedures, efficiency, and long-term modeling standards.

Location: Cleveland, United States

Workplace: Hybrid

Employment Type: Full time

Job Function: Capital Markets, Trading & Quant

Seniority: Manager level

Key Responsibilities

•Validate predictive and machine-learning models for specific business needs using statistics, advanced mathematical techniques, and/or computer science.
•Handle large, complex, and broad-scope problem statements; recommend solutions based on context, connections, and conclusions.
•Review deliverables and proactively coach others on approaches and work product, including data modeling methods.
•Lead and evangelize best practices for capturing and retaining data, coordinating with data stewards and anticipating process/procedure needs.
•Improve data procedures for efficiency, recommend appropriate analysis methods, and translate technical findings to non-technical audiences.

Pay and Benefits

Salary: USD 116,000 - 216,000 annually

Key Requirements

•Master’s degree (or equivalent) in a quantitative discipline (e.g., statistics, mathematics, economics, data sciences, predictive modeling) with at least 5 years of relevant experience; or a Bachelor’s degree (or equivalent) with at least 6 years of relevant experience.
•Create and leverage models using inferential statistics and prescriptive analysis to solve business problems and define recommended actions.
•Lead data literacy practices, including capturing/retaining data and setting standards for data analysis tools and techniques.
•Advanced skills with Microsoft Office Suite and quantitative tooling (SQL/NoSQL; Python/R/SAS) for efficient coding, data retrieval, and building code controls.
•Ability to communicate technical observations and model results to non-technical audiences and senior executives, while assessing risks and contingency plans.

Experience:5+ years

Education:Master's in statistics, mathematics, economics, financial engineering, data sciences, predictive modeling, or other quantitative disciplines

Skills:LeadershipCommunicationCritical thinkingProblem-solvingPartnering/influencing

Tech Stack:Microsoft Office SuiteSQLNoSQLPythonRSASCloud-based computingDistributed computingETLData retrievalArchivalDatabases

Company Brief

KeyCorp

KeyCorp operates KeyBank, providing retail and commercial banking, lending, wealth management, and investment services to individuals, businesses, and institutions across the United States.

Industry: Banking

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Cleveland, United States

Founded: 1849

Glassdoor: 3.6

Website LinkedIn

Loading job details...

Preparing the role view and application actions.

KeyCorp

1 week ago

Model Risk - Quantitative Analytics Manager

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 20 hours agoStatus: Live

Job Summary

Location: Cleveland, United States

Workplace: Hybrid

Employment Type: Full time

Job Function: Capital Markets, Trading & Quant

Seniority: Manager level

Key Responsibilities

•Validate predictive and machine-learning models for specific business needs using statistics, advanced mathematical techniques, and/or computer science.
•Handle large, complex, and broad-scope problem statements; recommend solutions based on context, connections, and conclusions.
•Review deliverables and proactively coach others on approaches and work product, including data modeling methods.
•Lead and evangelize best practices for capturing and retaining data, coordinating with data stewards and anticipating process/procedure needs.
•Improve data procedures for efficiency, recommend appropriate analysis methods, and translate technical findings to non-technical audiences.

Pay and Benefits

Salary: USD 116,000 - 216,000 annually

Key Requirements

•Master’s degree (or equivalent) in a quantitative discipline (e.g., statistics, mathematics, economics, data sciences, predictive modeling) with at least 5 years of relevant experience; or a Bachelor’s degree (or equivalent) with at least 6 years of relevant experience.
•Create and leverage models using inferential statistics and prescriptive analysis to solve business problems and define recommended actions.
•Lead data literacy practices, including capturing/retaining data and setting standards for data analysis tools and techniques.
•Advanced skills with Microsoft Office Suite and quantitative tooling (SQL/NoSQL; Python/R/SAS) for efficient coding, data retrieval, and building code controls.
•Ability to communicate technical observations and model results to non-technical audiences and senior executives, while assessing risks and contingency plans.

Experience:5+ years

Education:Master's in statistics, mathematics, economics, financial engineering, data sciences, predictive modeling, or other quantitative disciplines

Skills:LeadershipCommunicationCritical thinkingProblem-solvingPartnering/influencing

Tech Stack:Microsoft Office SuiteSQLNoSQLPythonRSASCloud-based computingDistributed computingETLData retrievalArchivalDatabases

Company Brief

KeyCorp

KeyCorp operates KeyBank, providing retail and commercial banking, lending, wealth management, and investment services to individuals, businesses, and institutions across the United States.

Industry: Banking

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Cleveland, United States

Founded: 1849

Glassdoor: 3.6

Website LinkedIn