Quantitative Analytics Associate - CapitalKeyCorp • Brooklyn, New York, United States
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Quantitative Analytics Associate - Capital
KeyCorp
- Brooklyn, New York, United States
- Brooklyn, New York, United States
Über
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 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 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. 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). Test suitability/sufficiency of approach under supervision (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 databases. 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; engages and interacts mostly with immediate team and peers; 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 elevate 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 on skills, experience, and geographic location. Compensation also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives. This role also includes various benefits and flexible work options. 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 HR_Compliance@keybank.com .
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Sprachkenntnisse
- English
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