Hybrid Predictive Analytics Associate

Key; New York (NY); On-site; USD 69,000 - 105,000; Full time

Job summary

KeyCorp is seeking a Quantitative Analytics Associate to support development and validation of predictive models using statistics and machine learning. The role emphasizes supervised work, team collaboration, and building analytical skills across programming languages and data literacy.

You will contribute to model development, testing, and diagnostics while advancing business acumen and communication abilities within a structured, supervisor-led environment.

Qualifications

• Bachelor’s degree in statistics, mathematics, economics, financial engineering, data sciences, predictive modeling or other quantitative disciplines with at least 1 year of relevant experience; 0 with Master’s or PhD.
• Understanding of data wrangling and descriptive statistics; ability to work with big data.
• Ability to consume, explore, and evaluate big data to inform business questions.
• Experience with Python/R/SAS and connecting to databases.

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.
• Tests, under supervision, suitability of approach for representativeness.

Skills

Data wrangling

Descriptive statistics

Random variables

Big data exploration

Python

R

SAS

Data visualization

Education

Bachelor’s degree in quantitative field

Tools

Python

R

SAS

SQL databases

Job description

KeyCorp is seeking a Quantitative Analytics Associate to support development and validation of predictive models using statistics and machine learning. The role emphasizes supervised work, team collaboration, and building analytical skills across programming languages and data literacy.

You will contribute to model development, testing, and diagnostics while advancing business acumen and communication abilities within a structured, supervisor-led environment.