Quant Analytics Associate: Predictive Modeling Pro

KeyBank; Brooklyn (OH); Hybrid; USD 69,000 - 105,000; Full time

Job summary

KeyBank in Brooklyn, Ohio seeks a Quantitative Analytics Associate to support development and validation of predictive models using statistics, math, and data science. Under supervision, you will analyze large data sets, test approaches, and build insights with your team.

A Bachelor’s degree in a quantitative field and at least 1 year of relevant experience are required; proficiency with Python/R/SAS and data wrangling is expected. The role offers a base salary range with incentive opportunities.

Qualifications

• Bachelor’s degree in statistics, mathematics, economics, data sciences, predictive modeling, or other quantitative disciplines.
• Experience in quantitative analytics or related field is preferred.
• Familiarity with data wrangling, descriptive statistics, and modeling concepts is expected.

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)

Skills

Statistical knowledge

Data wrangling

Communication skills

Education

Bachelor’s degree in statistics, mathematics, economics, data sciences, predictive modeling, or other quantitative disciplines

Tools

Python

R

SAS

SQL

Job description

KeyBank in Brooklyn, Ohio seeks a Quantitative Analytics Associate to support development and validation of predictive models using statistics, math, and data science. Under supervision, you will analyze large data sets, test approaches, and build insights with your team.

A Bachelor’s degree in a quantitative field and at least 1 year of relevant experience are required; proficiency with Python/R/SAS and data wrangling is expected. The role offers a base salary range with incentive opportunities.