Lead Quantitative Analytics Associate - Finance

Location:

4900 Tiedeman Road - Brooklyn, Ohio 44144-2302

The Lead Quantitative Analytics Associate - Finance is primarily responsible for using advanced mathematical techniques to develop predictive time-series models related to Pre-Provision Net Revenue (PPNR) for internal stress testing, Comprehensive Capital Analysis and Review (CCAR) stress testing, and the corporate forecast.  The role may also support quantitative process related to Interest-Rate Risk (IRR) for Asset-Liability Management (ALM) and Liquidity Risk.  The ideal candidate will be able to translate a strong banking acumen into robust quantitative processes.  Success factors include: designing advanced modeling approaches and developing / modifying existing models to meet changing business needs or in response to trends and strategy; exercising functional knowledge in analytical programming languages, data literacy, and model development to deliver predictive analysis to inform business problems; leading conversation with partners, delivering the right message and translating complex theories and ideas into easy-to-understand language; and serving as an emerging leader and role model across team.

ESSENTIAL JOB FUNCTIONS

• Use critical thinking to develop insights and deliver predictive analysis that answers business problems related to “what will happen next?”
• Develop, design, and/or leverage advanced modeling approaches, standard techniques for data inference and performance, and algorithms / models.
• Identify and anticipate business need; obtain the right information
• Develop robust quantitative processes that will withstand the test of time.
• Deliver the right message to partners using past trends to predict future behavior and linking conclusions based on analyses to business impact.
• Navigate model approval process as needed
• Make process improvement suggestions
• Be an emerging leader across the team: Serve as a role model to others; provide input to work product of junior staff; Help others to develop, publish, and customize models
• Identify and employ best practices.

REQUIRED QUALIFICATIONS

• Master’s degree (or its equivalent) in economics, statistics, mathematics, financial engineering, data sciences, predictive modeling, or other quantitative disciplines and at least 2 years of relevant experience; or Bachelor’s degree (or its equivalent) in economics, statistics, mathematics, financial engineering, data sciences, predictive modeling, or other quantitative disciplines and at least 5 years of relevant experience

IDEAL CANDIDATE

• Have a robust understanding of Finance and Accounting concepts.
• 5+ years experience in PPNR modeling for a Category IV (or higher) bank
• Ability to identify downstream model impacts on related processes.
• Intuition on the broader macroeconomic impact on the bank’s balance sheet

DATA LITERACY

• 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

TECHNOLOGY & TECHNIQUES

• 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

MODEL BUILDING & MAINTENANCE

• Moderate-to-strong competency in time-series forecasting techniques.
  • Ability to detect and mitigate time-series forecasting issues that would not appear in backtesting (e.g., overfitting)
• 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.

EXPECTED COMPETENCIES

• 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: General understanding of finance and accounting concepts related to standard financial reports such as the balance sheet and income statement.  Understands 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

COMPENSATION AND BENEFITS

This position is eligible to earn a base salary in the range of $71,000 to $120,000 annually depending on location and job-related factors such as level of experience. Compensation for this role also includes eligibility for short-term incentive compensation and deferred incentive compensation subject to individual and company performance.

Please click here for a list of benefits for which this position is eligible.

Key has implemented a role-based Mobile by Design approach to our employee workspaces, dedicating space to those whose roles require specific workspaces, while providing flexible options for roles which are less dependent on assigned workspaces and can be performed effectively in a mobile environment. As a result, this role may be Mobile or Home-based, which means you may work primarily either at a home office or in a Key facility to perform your job duties.

Job Posting Expiration Date: 03/28/2025

KeyCorp is an Equal Opportunity and Affirmative Action Employer committed to building a diverse, equitable and inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other protected category.

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 [email protected].

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