Quantitative Engineer: Big Data & Risk Modeling

HITEC; Jersey City (NJ); Hybrid; USD 90,000 - 156,000; Full time

Job summary

Bank of America in Jersey City is seeking Quantitative Engineers to design, develop, test, and implement scalable software components for risk analytics and data quality tooling. You will work with modelers and risk managers across a broad data stack to shape the future state of analytics and testing frameworks.

The role blends software engineering with big data and modeling skills, requiring collaboration with technologists to modernize data processing and regulatory reporting capabilities.

Qualifications

• Bachelor's degree in Computer Science, a closely related field, or equivalent work experience.
• 1–2 years of relevant professional experience or evidence of personal coding projects.
• Strong programming skills (Python) and understanding of SDLC principles.
• Experience with big data and data processing frameworks is desired.
• Experience with data analytics, modeling or ML techniques is a plus.

Responsibilities

• Applies quantitative methods to develop capabilities meeting risk management and regulatory requirements.
• Understands financial data: schemas, flow, size, data issues, data controls, etc.
• Builds and maintains large-scale data pipelines.
• Delivers high-quality code for models and testing processes using best practices.
• Collaborates with stakeholders to understand modeling and testing requirements.
• Thinks creatively to develop innovative approaches beyond standard practices.
• Keeps capabilities updated to respond to changing portfolios and risks.
• Sources and evaluates data required for modeling and testing.
• Designs, develops and implements models and tests; documents work clearly.

Skills

Python

Big data

Data modeling

SDLC

React

Pandas

Spark

Machine learning

Education

Bachelor's degree in Computer Science or related field

Tools

PySpark

Hadoop

Hive

React

JavaScript

Job description

Bank of America in Jersey City is seeking Quantitative Engineers to design, develop, test, and implement scalable software components for risk analytics and data quality tooling. You will work with modelers and risk managers across a broad data stack to shape the future state of analytics and testing frameworks.

The role blends software engineering with big data and modeling skills, requiring collaboration with technologists to modernize data processing and regulatory reporting capabilities.