Hybrid Quantitative Analytics Associate

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

Job summary

KeyBank in Brooklyn, OH is seeking a Quantitative Analytics Associate to support development and validation of predictive and machine-learning models. You will conduct quantitative analysis on large data sets, identify data issues, and explore patterns to inform business decisions.

The role requires a Bachelor’s degree in a quantitative field and experience with Python/R/SAS, with opportunities to grow in data literacy and model development under supervision.

Qualifications

• Bachelor’s degree in statistics, mathematics, economics, financial engineering, data sciences, predictive modeling, or other quantitative disciplines and at least 1 year of relevant experience.
• 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.

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.

Skills

Descriptive statistics

Data wrangling

Big data analysis

Python/R/SAS

Model validation

Education

Bachelor’s degree in quantitative field

Tools

Microsoft Office

SQL/Databases

Job description

KeyBank in Brooklyn, OH is seeking a Quantitative Analytics Associate to support development and validation of predictive and machine-learning models. You will conduct quantitative analysis on large data sets, identify data issues, and explore patterns to inform business decisions.

The role requires a Bachelor’s degree in a quantitative field and experience with Python/R/SAS, with opportunities to grow in data literacy and model development under supervision.