Quantitative Engineer Analyst

Reposted Yesterday
5 Locations
In-Office
65K-76K Annually
Entry level
Big Data • Fintech • Mobile • Payments • Financial Services • Data Privacy
The Role
The Quantitative Engineer Analyst will design and implement software components for data analysis and modeling, ensuring high-quality outputs and continuous improvement. They will collaborate with stakeholders, build big data pipelines, and produce documentation for models and tests.
Summary Generated by Built In

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.
Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates’ physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve.
Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations.
At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!
 

Job Description:

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. These components 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. Quantitative engineers have a combination of software engineering, big data, and modeling skills and the ability to work across the entire spectrum of a big data stack – from data to logic to model to UI to UX.

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.

Job Responsibilities:

  • Understanding financial data: schemas, flow, size, data issues, data controls, etc.

  • Building performant big data pipelines

  • Use programming skills and knowledge of software development lifecycle principles to  deliver high quality code for model and testing processes

  • Collaborate with key stakeholders across the Bank to understand modeling and testing business processes and requirements

  • Think 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 and 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, able to prioritize effectively, adapt, and meet strict deadlines

  • Strong written, verbal, presentation creation and delivery skills

  • Well organized, and has attention to detail

  • Ability to adjust to new conditions and changes effectively

  • Capacity to notice and consider all aspects or a task or project

  • Work effectively with others toward a common goal

Minimum Education Requirements:

  • Bachelor’s degree in Computer Science, a closely related field, or a degree from a program where software engineering was a key focus

Qualifications:

  • Strong Programming skills (e.g., Python)

  • Strong analytical and problem-solving skills

  • Digital fluency

Shift:

1st shift (United States of America)

Hours Per Week: 

40

Pay Transparency details

US - IL - Chicago - 540 W Madison St - Bank Of America Plaza (IL4540)

Pay and benefits information

Pay range$65,000.00 - $76,400.00 annualized salary, offers to be determined based on experience, education and skill set.

Predictable pay

This role is compensated with a base salary and is not incentive eligible.

Benefits

This role is currently benefits eligible. We provide industry-leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve.

Top Skills

Python
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The Company
HQ: Charlotte, NC
208,000 Employees
Year Founded: 1784

What We Do

We make financial lives better for our clients and our communities through the power of every connection. Our employees are at the heart of this purpose, and are key to driving responsible growth.

Every day, across the globe, our employees bring a commitment to our purpose and to driving responsible growth by living our values: deliver together, act responsibly, realize the power of our people and trust the team. A key aspect of driving responsible growth is doing so in a sustainable manner, a critical pillar of which is being a great place to work for our teammates.

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