Quant Analytics Assoc.

Location:

4900 Tiedeman Road, Brooklyn OhioABOUT 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. 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;

and establishing relationships with the working team.

ESSENTIAL JOB FUNCTIONS Conduct quantitative analysis on large data sets with manager and team support

Identify common data errors and their impact

Employ basic best practices for evaluating large data Answer key business questions through exploration and discovery

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)
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 PhDDATA 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 TECHNOLOGY & TECHNIQUES Advanced Microsoft Office Suite 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 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)
EXPECTED COMPETENCIES Leadership:
Works under general direction / supervision; may work independently, but often needs ongoing guidance and support

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

Business Acumen:
Developing basic understanding of business partner strategy;
Building financial acumen

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

Communication:
Basic writing skills; beginning to develop ability to organize information in clear, consistent format;
Typically needs assistance…