Quantitative Analytics Associate Capital

Location:

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 teams 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
Bachelors 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 Masters 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

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.

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