Sr. Quantitative Engineer

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 and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates’ physical, emotional, and financial wellness through affordable, competitive and flexible benefits.

We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve.

Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs.

At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!

• Job Description:
• This job is responsible for designing and overseeing common, reusable, and scalable software components which are either domain independent (e.g., generic data quality tools over billions of rows of data) or domain specific (e.g., classification models for surveillance or testing framework for Global Markets processes). Key responsibilities include enabling Global Risk Management's data and analytical capabilities. Job expectations include working with senior modelers, risk managers, and technologists to understand the current state and design the future state of data and analytics.

Responsibilities:

Seeks opportunities for consistent improvement in quality, efficiency, and processes

Partners effectively with senior stakeholders within Global Risk Analytics and Enterprise Independent Testing, Front Line Units, Technology, Audit and Compliance

Provides leadership and oversight to less experienced team members

Applies quantitative methods to develop capabilities that meet line of business, risk management and regulatory requirements

Understands financial data: schemas, flow, size, data issues, data controls, etc.

Builds performant big data pipelines

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

Senior Quantitative engineers in Global Risk are responsible for designing and overseeing the implementation of 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 billions of rows of data) or domain specific (e.g., classification models for surveillance or testing framework for Global Markets processes). Senior Quantitative engineers work with senior modelers, risk managers, and technologists to understand the current state and design the future state of data and analytics. Senior Quantitative engineers have a combination of software engineering, big data, modeling and management 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.

Job Responsibilities:

Seek opportunities for consistent improvement in quality, efficiency, and processes

Partner effectively with senior stakeholders within GRA & EIT, Front Line Units, Technology, Audit and Compliance

Provide leadership and oversight to less experienced team members

Applying quantitative methods to develop capabilities that meet line of business, risk management and regulatory requirements

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 models and tests for internal and regulatory purposes

Technical skills:

Software engineering: modular code, software lifecycle processes, unit testing, regression testing

Big data: distributed computing paradigms (e.g., mapreduce, dataframes, etc), optimizing distributed software

Modeling / quantitative: basic modeling techniques (regression, classification, clustering, etc.)

Soft Skills:

High level of intellectual curiosity

Experience implementing strategic process improvements and/or automation

Proven track record of building relationships and effectively influencing key stakeholders

Adept at detecting and remediating organizational / process weaknesses and deficiencies

Feels ownership and accountability for delivering high quality work, able to balance multiple priorities and meet strict deadlines

Strong written, verbal, presentation creation and delivery skills, typically to very senior audiences

Well organized with attention to detail

Willing to challenge the status quo and with a track record of driving change

Job Qualifications:

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

7+ years of relevant experience in software engineering in Quantitative Finance or other industries

Strong Programming skills (e.g., Python) and solid understanding of Software Development Life cycle principles

Proven track record of seamlessly leading and executing enterprise-wide initiatives

The candidate must be a strong communicator and able to effectively explain the rationale and details of the methodologies to a broad set of audiences that include key senior stakeholders across the Bank, as well as auditors and regulators

Strong analytical and problem-solving skills

Candidates should have at least three of the following skills:

Experience applying quantitative methods such as modelling, data analytics, machine learning, and statistics to develop business solutions

Experience with large scale data sets with structured or unstructured data

Experience in building user facing applications over large amounts of data using technologies like React, Angular, JavaScript etc.

Experience implementing process improvements and automation

Skills:

Critical Thinking

Data Modeling

Process Effectiveness

Risk Modeling

Test Engineering

Influence

Oral Communications

Prioritization

Relationship Building

Written Communications

Attention to Detail

Change Management

Minimum Education Requirement: Bachelor’s degree in related field or equivalent work experience

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

$140,000.00 - $215,500.00 annualized salary, offers to be determined based on experience, education and skill set.

Discretionary incentive