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KeyBank · 1 day ago

Quant Analytics Sr Associate

Brooklyn, OH

Full-time

Hybrid

Mid, Senior Level

$94K/yr - $175K/yr

3+ years exp

KeyBank is a financial services company seeking a Sr. Quant Analytics Associate to join their Fair and Responsible Banking Analytics team. This role involves developing and executing quantitative/statistical analysis and regression models to support compliance risk management efforts and enhance the FARB analytics program.

Banking

Responsibilities

Extract data from various sources and develop quantitative/statistical analysis and regression models in SAS or similar statistical software using industry standards and FARB methodologies

Perform research and development related to FARB risk monitoring and regression model review

Prepare reporting of analysis and results and present the information in non-technical terms

Prepare regression model documentation and work with Model Risk Management to ensure soundness of the FARB statistical regression models

Proactively identify process improvements or control gaps and facilitate necessary associated changes

Develop and maintain strong, collaborative relationships with applicable stakeholders to identify suitable internal controls to ensure compliance with laws and regulations

Maintain a sound understanding of policies/guidelines for underwriting, pricing, etc., business processes and associated risks with respect to LOBs

Timely escalate issues and exceptions to management in accordance with procedures and/or based on sound judgment

Follow through with LOB management and/or appropriate compliance risk personnel to ensure appropriate corrective action is taken to sufficiently address findings/issues to prevent ongoing systemic issues

Participate in or lead various projects related to mitigating risk to Key

Qualification

Statistical analysisRegression modelsSASAnalytical programmingMachine learningTableauCommunication skillsTeamwork

Required

Master's degree (or its equivalent) in a quantitative field (e.g., statistics, economics, engineering)

3 to 5+ years of applied statistical and analytics experience in financial services or similar work related to graduate school experience; at least 2+ years specifically focused on fair lending analytics design, build and use

Demonstrated proficiency in analytical programming (e.g., SAS (preferred), R, Python)

Experience in developing, implementing, and evaluating linear/logistic regression models

Excellent communication (verbal and written) skill and the ability to communicate complex statistical methodologies in a non-technical way

Must possess initiative, be a self-starter, ability to multitask and adapt quickly to change or shifting priorities, have a high attention to details and accuracy and work in a fast-paced, changing environment

Proven ability to work in a team environment

Complies with all KeyBank policies and procedures, including without limitation, always acting professionally, conducting business ethically, avoiding conflicts of interest, and acting in the best interests of Key's clients and Key

Preferred

Experience working for a bank, consumer financial product company such as a non-depository mortgage lender, banking regulator or other related government regulatory or enforcement agency a plus

Experience with machine learning/artificial intelligence models a plus

Experience with Tableau a plus