Quantitative Engineer: Data & Risk Analytics

Hobbsnews

Jersey City (NJ)

On-site

USD 90,000 - 155,500

Full time

14 days+

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Benefits offered by this job

Discretionary incentive eligible

Annual discretionary award

Industry-leading benefits

Job summary

Bank of America in Jersey City is seeking a Quantitative Engineer to design and implement scalable data and analytics components for Global Risk. You will work with modelers, risk managers, and technologists to understand current state and build the future data stack—from data to logic to UI.

The role demands strong Python skills, experience with large data sets, and familiarity with big data technologies; you will develop models, tests, and documentation, delivering high-quality code and

Qualifications

Bachelor’s degree in Computer Science or related field or equivalent work experience.
1–2 years of relevant professional experience or demonstrated coding projects.
Strong programming skills (Python) and understanding of SDLC.

Responsibilities

Apply quantitative methods to meet risk management and regulatory requirements.
Understand financial data schemas, flow, and data quality issues.
Build performant big data pipelines.
Deliver high-quality code for model and testing processes.

Skills

Critical Thinking

Data Modeling

Process Effectiveness

Risk Modeling

Test Engineering

Influence

Oral Communications

Written Communications

Attention to Detail

Change Management

Education

Bachelor’s degree in Computer Science

Tools

React

Angular

JavaScript

Job description

The role demands strong Python skills, experience with large data sets, and familiarity with big data technologies; you will develop models, tests, and documentation, delivering high-quality code and

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