Sr Quantitative Finance Analyst
Charlotte, North Carolina;Atlanta, Georgia; Newark, Delaware; Phoenix, Arizona; Chandler, Arizona; Chicago, Illinois
To proceed with your application, you must be at least 18 years of age.
Acknowledge
Refer a friend
To proceed with your application, you must be at least 18 years of age.
Acknowledge (https://ghr.wd1.myworkdayjobs.com/Lateral-US/job/Charlotte/Sr-Quantitative-Finance-Analyst_25025588-2)
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:
This job is responsible fordesigning and overseeing the implementationof 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.
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 todeliver 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
Produceclear, concise and repeatable technical documentation models and testsfor internal and regulatory purposes
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 all the Lines of Business and Enterprise functions. GRA and EIT include vertical (i.e., business or risk-specific) functions and horizontal functions that cut across business and risk-@types. A core pillar of our horizontal strategy is developing common, reusable, and scalable components that can be used across GRM. Quantitative engineers will be responsible for executing on this strategy.
Skills:
Critical Thinking
Quantitative Development
Risk Analytics
Risk Modeling
Technical Documentation
Adaptability
Collaboration
Problem Solving
Risk Management
Test Engineering
Data Modeling
Data and Trend Analysis
Process Performance Measurement
Research
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
Minimum Education Requirement :
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 work experience
Qualifications :
At least 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
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.)
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
$125,000.00 - $210,000.00 annualized salary, offers to be determined based on experience, education and skill set.
Discretionary incentive eligible
This role is eligible to participate in the annual discretionary plan. Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors, the performance and contributions of their line of business and/or group; and the overall success of the Company.
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.
Bank of America and its affiliates consider for employment and hire qualified candidates without regard to race, religious creed, religion, color, sex, sexual orientation, genetic information, gender, gender identity, gender expression, age, national origin, ancestry, citizenship, protected veteran or disability status or any factor prohibited by law, and as such affirms in policy and practice to support and promote the concept of equal employment opportunity, in accordance with all applicable federal, state, provincial and municipal laws. The company also prohibits discrimination on other bases such as medical condition, marital status or any other factor that is irrelevant to the performance of our teammates.
To view the "Know your Rights" poster, CLICK HERE (https://www.eeoc.gov/sites/default/files/2023-06/22-088\EEOC\KnowYourRights6.12.pdf) .
View the LA County Fair Chance Ordinance (https://dcba.lacounty.gov/wp-content/uploads/2024/08/FCOE-Official-Notice-Eng-Final-8.30.2024.pdf) .
Bank of America aims to create a workplace free from the dangers and resulting consequences of illegal and illicit drug use and alcohol abuse. Our Drug-Free Workplace and Alcohol Policy ("Policy") establishes requirements to prevent the presence or use of illegal or illicit drugs or unauthorized alcohol on Bank of America premises and to provide a safe work environment.
To view Bank of America's Drug-free Workplace and Alcohol Policy, CLICK HERE .
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. Should you be offered a role with Bank of America, your hiring manager will provide you with information on the in-office expectations associated with your role. These expectations are subject to change at any time and at the sole discretion of the Company. To the extent you have a disability or sincerely held religious belief for which you believe you need a reasonable accommodation from this requirement, you must seek an accommodation through the Bank's required accommodation request process before your first day of work.
This communication provides information about certain Bank of America benefits. Receipt of this document does not automatically entitle you to benefits offered by Bank of America. Every effort has been made to ensure the accuracy of this communication. However, if there are discrepancies between this communication and the official plan documents, the plan documents will always govern. Bank of America retains the discretion to interpret the terms or language used in any of its communications according to the provisions contained in the plan documents. Bank of America also reserves the right to amend or terminate any benefit plan in its sole discretion at any time for any reason.
