Sr Quantitative Analytics Associate - Fair and Responsible Banking Analytics

• 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.

• 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.
• 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.
• 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.

• Working knowledge of:

• Different types of data and techniques for managing these data structures
• Ability to:

• Assist / guide others in information retention, coordination with data stewards, and anticipation of process/procedure needs
• Link conclusions based on data analysis to business impacts
• Define processes for integrating and repurposing data analyses

• Advanced Microsoft Office Suite
• SQL/NoSQL

• Relationship data structure
• Selecting and retrieving data including unstructured data retrieval, archival, and ETL
• Databases
• Advanced Python/R/SAS:

• Databases
• Efficient coding
• Can build strong code controls and translate code into high-level commentary
• Understanding of and ability to leverage:

• Cloud-based computing
• Distributed computing

• Understands and can leverage:

• Optimization techniques and supporting numerical analysis requirements in algorithms / models
• Ability to:

• Interpret performance and reliability of assumptions; identify when to escalate
• Leverage and lead the design of advanced modeling approaches
• Develop / design standard techniques for data inference and performance perspectives
• Determine use requirements based on business processes
• Identify and employ best practices in implementation

• Leadership: Emerging leader across team; Role model to others – may coach and develop; Provides direction/mentorship to junior staff
• Partnering / Influencing: Proven relationship building ability; Strong interpersonal skills; Can lead the conversation with partners in the business, technology, etc.; Sought out to by business partners and team members; May coach and develop relationship building skills in others; Developing comfort with influencing and consulting typically with mid-level leaders
• Business Acumen: Understands assigned LOB strategy; Knows our competition and industry; Possesses intellectual curiosity; Understands key drivers of financial results and business impact; Aware of the competitive environment
• Critical Thinking / Problem Solving: Leverages critical thinking and business acumen to provide solutions to increasingly more complex problems; Understands impacts / intersections with other business partners / LOBs; Aware of potential pitfalls with each recommended solution; thoroughly vets and thinks through options before making a decision
• Communication: Strong writing skills; organizes material for brevity, persuasiveness, and impact; Effectively communicates key points to respective stakeholders, with the right amount of detail; Proactively shares information beyond those at the table who may have a need to know; Comfortable in situations where conflict is present; Demonstrated presentation development and delivery skills; Ability to create presentations that include the right data / information and tell the right story

KeyBank