Quant Analytics Senior Associate

Quant Analytics Senior Associate page is loaded## Quant Analytics Senior Associate locations:
Cleveland, OH:
Remote, United Statestime type:
Full time posted on:
Posted Todaytime left to apply:
End Date:
December 14, 2025 (23 days left to apply) job requisition :
R-34534
*
* Location:

** 127 Public Square, Cleveland Ohio
** ABOUT THE JOB (JOB BRIEF)
** including but not limited to Market Risk/Treasury/Liquidity, Credit Risk, Compliance Risk, Fraud, etc.) and involve model building / maintenance and “connecting the dots” between analyses, conclusions, partner needs, and/or strategy. Success factors include: evaluating advanced models to meet changing business needs or in response to trends and strategy; exercising functional knowledge in analytical programming languages, data literacy, and model validation to deliver predictive analysis to inform business problems;

leading conversation with partners, delivering the right message and translating complex theories and ideas into easy-to-understand language; and serving as an emerging leader and role model across team.
** ESSENTIAL JOB FUNCTIONS
*** Develop, design, and/or leverage advanced modeling approaches, standard techniques for data inference and performance, and algorithms / models
* Identify and anticipate business need; obtain the right information
* Deliver the right message to partners using past trends to predict future behavior and linking conclusions based on analyses to business impact
* Navigate model approval process as needed
* Make process improvement suggestions
* Be an emerging leader across the team:
Serve as a role model to others; provide input to work product of junior staff;
Help others to develop, publish, and customize models
* Identify and employ best practices
** REQUIRED QUALIFICATIONS
*** Master’s degree (or its equivalent) in statistics, mathematics, economics, financial engineering, data sciences, predictive modeling, or other quantitative disciplines and at least 3 years of relevant experience; or Bachelor’s degree (or its equivalent) in statistics, mathematics, economics, financial engineering, data sciences, predictive modeling, or other quantitative disciplines and at least 5 years of relevant experience

DATA LITERACY
* Working knowledge of:  + Different types of data and techniques for managing these data structures
* Ability to:  + Assist / guide others in information retention, coordination with data stewards, and anticipation of process/procedure needs  + Link conclusions based on data analysis to business impacts  + Define processes for integrating and repurposing data analyses

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 VALIDATION
* Understands and can leverage:  + Optimization techniques and supporting numerical analysis requirements in algorithms / models
* Ability to:  + Interpret performance and reliability of assumptions; identify when to escalate  + Leverage and lead the design of advanced modeling approaches  + Develop / design standard techniques for data inference and performance perspectives  + Determine use requirements based on business processes  + Identify and employ best practices in implementation
** EXPECTED COMPETENCIES**
* ** Leadership:
** Emerging leader across team;
Role model to others – may coach and develop;
Provides direction/mentorship to junior staff
* ** Partnering / Influencing:
** Proven relationship building ability;
Strong interpersonal skills;
Can lead the conversation with partners in the business, technology, etc.;
Sought out to by business partners and team members;
May coach and develop relationship building skills in others;
Developing comfort with influencing and consulting typically with mid-level leaders
* ** Business Acumen:
** Understands assigned LOB strategy;
Knows our competition and industry;
Possesses…