Quant Analytics Associate - Market Risk
About The Position
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.
Requirements
- 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 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
- 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)
Responsibilities
- 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)
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Number of Employees
5,001-10,000 employees
