Quant Analytics Lead Associate

Quant Analytics Lead Associate page is loaded## Quant Analytics Lead Associate locations:
Brooklyn, OH:
Remote, United Statestime type:
Full time posted on:
Posted Todaytime left to apply:
End Date:
February 9, 2026 (30+ days left to apply) job requisition :
R-36264
*
* Location:

** 4900 Tiedeman Road, Brooklyn Ohio
** ABOUT THE JOB (JOB BRIEF)
**** 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 PhDDATA 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/No

SQL  + 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
** Candidates not currently located in Cleveland, OH must be willing to relocate for this role.
** COMPENSATION AND BENEFITS This position is eligible to earn a base salary in the range of $71,000.00 - $ 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…