Quantitative Analytics Lead Associate

Location:

4910 Tiedeman Road, Brooklyn Ohio

ABOUT THE JOB (JOB BRIEF)

Under some supervision, the Lead Quantitative Analytics Associate is primarily responsible for using statistics, advanced mathematical techniques, and/or computer science to develop and validate predictive and machine-learning models for specific business needs. The Lead 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?”. Often large in scope, projects undertaken by the Lead Quantitative Analytics Associate involve self-directed data analysis and model building in response to a problem statement proposed by a business partner. Success factors include: timely and effective completion of tasks assigned by manager with manager and/or peer guidance; exercising functional knowledge in analytical programming languages, data literacy, and model development; effective communication of insights and data to peers; and developing work autonomy and problem-solving.

ESSENTIAL JOB FUNCTIONS

Conduct quantitative analysis including hypothesis testing and root-cause analysis on large data sets with more autonomy

Support the working group by identifying types of information needed for analysis or to inform business questions create data structures/transformations to be leveraged by groups for analysis

Use statistical analysis and machine learning to develop, maintain, and anticipate considerations in implementation of models that address the right business need

Use critical thinking to use the right approach for each problem statement

Anticipate business need and make continuous improvements to models and processes

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 2 years of relevant experience; 1 with Master’s or PhD

DATA LITERACY

Understanding of and ability to:

Create data structures / transformations

Identify and capture different types of information for business needs or necessary for analysis

Data controls

Hypothesis testing / root-cause analysis

Leverage and anticipate considerations in implementation

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

Understanding of:

Model use, requirements, and implementation needs

Model Risk Management process and foundations

Testing for deterioration and model health

Scale and fundamental concepts of Machine Learning

How statistical measurements are used

Advanced data techniques for modeling frameworks

Ability to:

Produce and identify information through statistical analysis

Effectively explain model insights to peers and analytics community

Identify preferred approach given the problem statement

EXPECTED COMPETENCIES

Leadership: Some self-direction, likely will need some guidance and supervision; Starting to anticipate possible business problems – improving something that already exists

Partnering / Influencing: Developing relationship building and interpersonal skills; Partnerships and influence typically at peer or “working group” level; Building influencing skills; demonstrated in area of expertise or assigned LOB

Business Acumen: Understands business partner strategy and the business of banking at a high level; Asks the right questions; Understands upstream and downstream impacts

Critical Thinking / Problem Solving: Demonstrates critical thinking; Analyzes, identifies and recommends appropriate solutions to moderately complex problems; Can translate data and answer the “why” question; Starting to understand impacts / intersections with others

Communication: Solid writing skills; Can cohesively present and organize information in support of findings and recommendations; Demonstrates confidence in communicating a message (typically narrow in scope); Can tell a compelling story with data and information; Emerging presentation development and delivery skills

COMPENSATION AND BENEFITS

This position is eligible to earn a base salary in the range of $71,000.00 - $125,000.00 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.

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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