Quantitative Analytics Associate - Capital

Posted 2 Hours Ago
Be an Early Applicant
8 Locations
In-Office or Remote
69K-105K Annually
Junior
Fintech
The Role
Perform quantitative analysis and model development support within an economic capital team. Clean and explore large datasets, run basic diagnostics, build visualizations, and assist in validating predictive and ML models using Python/R/SAS and spreadsheet tools. Help integrate AI-generated code and agentic tools under manager supervision.
Summary Generated by Built In

Location:

4900 Tiedeman Road, Brooklyn Ohio

ABOUT THE JOB (JOB BRIEF)
Under direct supervision, the Quantitative Analytics Associate is primarily responsible for using statistics, advanced mathematical techniques, and/or computer science to support the development and validation of predictive and machine-learning models for specific business needs. The Quantitative Analytics Associate leverages advanced mathematical knowledge and analysis to provide solutions to predictive and prescriptive questions such as “What will happen next?” and “What will we do?”. Projects undertaken by the Quantitative Analytics Associate are often broad in scope across multiple business segments and involve evaluation and testing on existing data with substantial team support.

This role sits within a specialized economic capital environment and offers the opportunity to work in a highly niche analytical space. The team is actively evolving how work is done by leveraging AI-generated code and modern tools, and this individual will play a key role in accelerating that transition.

Success factors include: timely and effective completion of tasks assigned by manager under significant supervision; building functional knowledge in analytical programming languages, data literacy, and model development; developing communication skills, business acumen, and critical thinking; establishing relationships with the working team; demonstrating a self-starter mentality; and contributing to the adoption and advancement of AI-driven solutions across the team.

ESSENTIAL JOB FUNCTIONS
• Conduct quantitative analysis on large data sets with manager and team support, including work tied to economic capital modeling frameworks
• Identify common data errors and their impact
• Employ basic best practices for evaluating large data
• Answer key business questions through exploration and discovery, including those tied to risk and capital modeling
• Find patterns or anomalies by building out visualizations
• Execute basic diagnostics testing under supervision (e.g. performance testing, assumption verification and impacts of limitations)
• Tests, under supervision, suitability / sufficiency for approach (e.g. representativeness)
• Support the team’s transition toward AI-generated code, helping integrate AI tools into day-to-day workflows
• Partner with team members to increase adoption and effective use of AI platforms and agentic tools
• Learn existing economic capital approaches and help identify opportunities to enhance processes through automation and AI-driven solutions

REQUIRED QUALIFICATIONS
• Bachelor’s degree (or its equivalent) in statistics, mathematics, economics, financial engineering, data sciences, predictive modeling, or other quantitative disciplines and at least 1 year of relevant experience; 0 with Master’s or PhD

DATA LITERACY
• Understanding of:
• Data wrangling including information documentation and importing data from different formats
• Descriptive statistics, random variables, common distributions, outliers
• Ability to consume, explore, and evaluate big data; can leverage this skill to inform business questions
• Baseline understanding or interest in economic capital modeling concepts or similar quantitative frameworks

TECHNOLOGY & TECHNIQUES
• Navigation, shortcuts, use and share spreadsheet documents
• Python/R/SAS:
• Perform IDE walk-through; shortcuts
• Connect to data bases
• Use functions such as classes, variables, lists, and classes
• Program files, modules, and libraries
• Exposure to or interest in standard AI and machine learning tools, including generative AI platforms
• Familiarity with or curiosity around agentic tools and AI-assisted coding environments
 

MODEL BUILDING & MAINTENANCE
• Familiar with concepts and usage of Data Leakage, Training, Testing, and Validation Sets for model building
• Able to perform basic diagnostics testing
• Understanding of:
• Foundational statistical / measurement concepts, methods, and techniques
• Basic uses, scope, features, benefits, and risks of available modeling methods
• Ability to apply these concepts within an economic capital or risk modeling context over time

EXPECTED COMPETENCIES
• Leadership: Works under general direction / supervision; may work independently, but often needs ongoing guidance and support; demonstrates initiative and ownership in a self-starter environment

• Partnering / Influencing: Limited business partner interaction – work typically assigned by manager; Developing relationship building ability and interpersonal skills; Engage and interact mostly with immediate team and peers; Developing influencing skills; supports team adoption of new tools and approaches, including AI

• Business Acumen: Developing basic understanding of business partner strategy; Building financial acumen; gains exposure to economic capital concepts and their business relevance

• Critical Thinking / Problem Solving: Developing critical thinking skills; Can analyze simple issues with low complexity; Can give perspective to the team addressing basic business/analytical problems and challenges; Recognizes need to escalate issues in a timely manner; demonstrates curiosity and problem-solving mindset around process improvement and automation

• Communication: Basic writing skills; beginning to develop ability to organize information in clear, consistent format; Typically needs assistance with articulating a clear, well-thought out message and formal delivery; Minimal skills in creating PowerPoint presentations; limited formal delivery; able to collaborate effectively and is easy to work with

COMPENSATION AND BENEFITS

This position is eligible to earn a base salary in the range of $69,000.00 - $105,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives.

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

Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment.

Job Posting Expiration Date: 07/31/2026 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 [email protected].



#LI-Remote

Skills Required

  • Bachelor's degree in statistics, mathematics, economics, financial engineering, data science, predictive modeling, or similar (Master's/PhD may waive experience)
  • At least 1 year of relevant quantitative analytics or modeling experience (0 years with Master's/PhD)
  • Data wrangling skills, including importing data from various formats and information documentation
  • Descriptive statistics knowledge, understanding of random variables, distributions, and outlier handling
  • Ability to consume, explore, and evaluate large (big) data to inform business questions
  • Baseline understanding or interest in economic capital modeling concepts or similar quantitative frameworks
  • Proficiency with spreadsheet documents and advanced navigation/shortcuts (e.g., Excel)
  • Experience or familiarity with Python, R, or SAS, including connecting to databases and using modules/libraries
  • Familiarity with model building concepts: data leakage, training/testing/validation sets, and basic diagnostic testing
  • Exposure to or interest in standard AI and machine learning tools and generative AI platforms
  • Familiarity or curiosity around agentic tools and AI-assisted coding environments
  • Ability to build visualizations to find patterns or anomalies and communicate findings to team

KeyBank Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about KeyBank and has not been reviewed or approved by KeyBank.

  • Retirement Support A dollar-for-dollar 401(k) match up to 7% of eligible pay is positioned as a standout element of the total rewards package. Additional financial programs like discounted stock purchase and banking discounts further strengthen perceived long-term value.
  • Leave & Time Off Breadth A pooled PTO bank with amounts that scale by level and tenure is described as a meaningful benefit and a retention lever. Paid parental leave is also included, adding to the breadth of time-off support.
  • Wellbeing & Lifestyle Benefits Wellness incentives tied to HSA contributions and company-sponsored health and wellbeing programs add tangible non-cash value. A Lifestyle Spending Account and counseling resources expand support beyond traditional medical coverage.

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The Company
Cleveland, OH
16,053 Employees
Year Founded: 1949

What We Do

At KeyBank we’ve made a promise to our clients that they will always have a champion in us. To deliver on our promise, we’re committed to building a team of engaged employees who do the right thing for our clients and shareholders, and help them achieve financial wellness each and every day.

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