Quantitative Operations Associate II- Lead Modeler

Reposted Yesterday
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6 Locations
In-Office
126K-169K Annually
Senior level
Big Data • Fintech • Mobile • Payments • Financial Services • Data Privacy
The Role
Develops and maintains volume forecasting, capacity planning, and resource optimization models. Implements predictive modeling and operations research methods, ensures Model Risk Management compliance, monitors model performance, partners with front-line units, presents results to leadership, and mentors/onboards junior analysts.
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 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:
The Data & Modeling - Resource Analytics team in Global Operations Data, Reporting & Operations Management is looking for a motivated individual with strong quantitative skills and experience in time series forecasting and predictive modeling. This individual will be responsible for developing and maintaining strategic volume forecasting and capacity planning models with the goal of maintaining optimal staffing levels across Global Operations. In addition, the position will involve quickly gaining subject matter expertise to 1) assist with analyst onboarding and training, and 2) ensure model adherence to Model Risk Management (MRM) requirements. The ideal candidate will have a keen eye for detail, a strong sense for modeling complex operational systems, excellent verbal and written communication skills, and the ability to coach junior analysts

Quantitative Operations Associate II - Lead Modeler

Responsibilities include:
• Develop and maintain volume forecasting, capacity planning, and resource optimization models
• Research and implement new predictive modeling and operations research methodologies
• Assist in driving forecasting and capacity modeling consistency and innovation across team
• Routinely partner with Front Line Units (FLUs) to ensure model accuracy
• Conduct model production and performance presentations with executive leadership
• Assist with documentation and other efforts to adhere to Model Risk Management (MRM) requirements
• Serve as volume forecasting subject matter expert to help with analyst onboarding and training across Resource Analytics

Responsibilities:

  • Develops and maintains models for the line of business, including volume forecasts, capacity plans, and vendor models using advanced mathematical/statistical techniques
  • Drives horizontal consistency in model development, visualization, and usage across peer groups
  • Conducts routine model production and performance presentations with executive leadership
  • Ensures adherence to Model Risk Management (MRM) requirements
  • Supports ongoing model monitoring to improve forecasting performance and efficiency
  • Evaluates new opportunities and implement changes to improve model lifecycle processes
  • Demonstrates ability to operate independently, and ability train/mentor team members as needed

    Required Skills:

    • Master’s degree in Mathematics, Statistics, Applied Economics, Industrial Engineering, Operations Research, Advanced Analytics, other STEM field; or equivalent experience.
    • 5+ years of experience in quantitative roles modeling complex systems.
    • Fundamental understanding of linear regression, time series, and other predictive modeling techniques, both through education and professional experience.
    • Proficient in MS Office, particularly Excel and Copilot.
    • Proficient in SAS, Python, or R.
    •Ability to work in a team-oriented environment with strong aptitude for problem solving and collaboration.
    •Strong communication and interpersonal skills - specifically the ability to communicate complex ideas in a clear and concise manner to key stakeholders.
    •Natural curiosity and drive to answer important business questions.

    • High aptitude for self-motivation and self-determined project work in a fast-paced and rapidly changing environment.

    • Prior Banking industry analytics and modeling experience, specifically with developing models that adhere to standards set by a risk management governing body.

    Desired Skills:

    •Prior operational volume forecasting, capacity planning, or financial planning experience.
    •Experience with Arena or similar discrete event simulation software.
    •Experience with SAS OR, GAMS, XPRESS, CPLEX, or similar optimization software.
    •Tableau or other data visualization software experience.
    •Data mining experience using SQL/SAS querying.
    •Fundamental understanding of simulation and operations research techniques (discrete event simulation, Monte Carlo simulation, queuing theory, Markov chain modeling, optimization, etc.), both through education and professional 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$126,000.00 - $168,700.00 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.

    Skills Required

    • Master's degree in Mathematics, Statistics, Applied Economics, Industrial Engineering, Operations Research, Advanced Analytics, other STEM field; or equivalent experience
    • 5+ years of experience in quantitative roles modeling complex systems
    • Fundamental understanding of linear regression, time series, and other predictive modeling techniques
    • Proficient in MS Office, particularly Excel and Copilot
    • Proficient in SAS, Python, or R
    • Prior banking industry analytics and modeling experience, specifically developing models that adhere to Model Risk Management (MRM) standards
    • Ability to work in a team-oriented environment with strong problem-solving and collaboration skills
    • Strong verbal and written communication and interpersonal skills
    • Ability to train, mentor, and onboard junior analysts
    • High aptitude for self-motivation and independent project work in a fast-paced environment
    • Experience with operational volume forecasting, capacity planning, or financial planning
    • Experience with Arena or similar discrete event simulation software
    • Experience with SAS OR, GAMS, XPRESS, CPLEX, or similar optimization software
    • Experience with Tableau or other data visualization software
    • Data mining experience using SQL or SAS querying
    • Fundamental understanding of simulation and operations research techniques (discrete event simulation, Monte Carlo, queuing theory, Markov chain modeling, optimization)

    Bank of America Compensation & Benefits Highlights

    The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Bank of America and has not been reviewed or approved by Bank of America.

    • Fair & Transparent Compensation The $25/hour U.S. minimum wage, reaffirmed in recent company materials, sets a clear compensation floor that lifts entry-level and operations pay. Public salary information and disclosures provide visible benchmarks for pay across roles.
    • Parental & Family Support Parental leave extends up to 26 weeks with 16 weeks fully paid for eligible teammates, alongside backup child and adult care and a dedicated Life Event Services team. Family-building assistance offers up to a $20,000 lifetime reimbursement and bereavement leave provides 20 paid days for loss of a spouse, partner, or child.
    • Retirement Support Retirement programs include a 401(k) match up to 5% of eligible pay plus an additional 2–3% annual company contribution based on service. These employer contributions add meaningful long-term value beyond base pay.

    Bank of America Insights

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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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