Quantitative Engineer Analyst

Bank of America

Jacksonville (FL)

On-site

USD 60,000 - 80,000

Full time

14 days+

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Job summary

A leading banking institution is seeking an entry-level Quantitative Engineer Analyst in Jacksonville, Florida. You will design and implement software components for data and analytics while collaborating with modelers and risk managers. Ideal candidates have a Bachelor's degree in Computer Science and strong programming skills, particularly in Python. Benefits include a full-time position with a dynamic team focused on innovation in financial services.

Qualifications

Bachelor’s degree or equivalent in Computer Science or related field.
Strong programming skills, especially in Python.
Ability to analyze and solve complex problems.

Responsibilities

Understand financial data and its structure.
Build efficient big data pipelines.
Collaborate across the organization for requirements.

Skills

Intellectual curiosity

Accountability

Strong written and verbal communication

Attention to detail

Adaptability

Collaborative work

Education

Bachelor’s degree in Computer Science

Tools

Python

Job description

Job Description

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.

We commit to an inclusive workplace, attracting and developing exceptional talent, supporting our teammates’ physical, emotional, and financial wellness, recognizing and rewarding performance, and making an impact in the communities we serve.

Team Overview

Global Risk Analytics (GRA) and Enterprise Independent Testing (EIT) are sub-lines of business within Global Risk Management (GRM). Collectively, they are responsible for developing a consistent and coherent set of models, analytical tools, and tests for effective risk and capital measurement, management and reporting across Bank of America. GRA and EIT partner with the Lines of Business and Enterprise functions to ensure the capabilities it builds address both internal and regulatory requirements, and are responsive to the changing nature of portfolios, economic conditions and emerging risks. In executing its activities, GRA and EIT drive innovation, process improvement and automation.

Quantitative Engineer Analyst – Entry Level Role

Quantitative Engineer Analyst is the entry level role to becoming a Quantitative Engineer. Quantitative engineers in Global Risk are responsible for designing and implementing common, reusable, and scalable software components. These components enable GRM’s data and analytical capabilities. They can be domain independent—e.g., generic data quality tools over trillions of rows of data—or domain specific—e.g., classification models for surveillance or testing framework for Global Markets processes. Quantitative engineers work with modelers, risk managers, and technologists to understand the current state and design the future state of data and analytics. They combine software engineering, big data, and modeling skills and work across the entire spectrum of a big data stack—from data to logic to model to UI to UX.

Job Responsibilities

Understanding financial data: schemas, flow, size, data issues, data controls, etc.
Building performant big data pipelines.
Using programming skills and knowledge of software development lifecycle principles to deliver high quality code for model and testing processes.
Collaborating with key stakeholders across the Bank to understand modeling and testing business processes and requirements.
Thinking outside the box of current industry standards to develop innovative approaches.
Maintaining and continuously enhancing capabilities over time to respond to the changing nature of portfolios, economic conditions, and emerging risks.
Source and evaluate data required for modeling and testing.
Design, develop and implement models and tests.
Produce clear, concise and repeatable technical documentation on models and tests for internal and regulatory purposes.

Skills

High level of intellectual curiosity.
Feel ownership and accountability for delivering high quality work, prioritizing effectively, adapting, and meeting strict deadlines.
Strong written, verbal, presentation creation and delivery skills.
Well organized, with attention to detail.
Ability to adjust to new conditions and changes effectively.
Capacity to notice and consider all aspects of a task or project.
Work effectively with others toward a common goal.

Minimum Education Requirements