Quantitative Operations Associate

Bank of America; Chicago (IL); On-site; USD 80,000 - 120,000; Full time

Job summary

A leading financial services company seeks a Quantitative Analyst to develop analytic models and support operations. The role requires a Master’s degree in a relevant field and involves solving real-world business problems using data and quantitative skills. Candidates should be proficient in tools like MS-Excel, SQL, and VBA, and will collaborate in multi-disciplinary teams to drive operational efficiency.

Qualifications

• Master’s degree in a quantitative discipline required.
• 1+ years’ experience developing Discrete Event Simulation Models.
• Experience with databases and strong analytical skills.

Responsibilities

• Model operational problems using IE-OR techniques.
• Work with teams to implement complex models.
• Automate tasks using VBA or Python.

Skills

Problem Solving

Collaboration

Data Analysis

Presentation Skills

Intellectual Curiosity

Education

Master’s degree in industrial engineering or Operations Research

Tools

MS-Excel

VBA

SQL

Arena

Gurobi

MS-PowerPoint

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 a diverse and 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.

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

Job Description:
Responsible for developing quantitative/analytic models and applications in support of the firm's risk management effort. This role focuses on the development of operations/data management policies, strategies and operational guidelines for the organization's various financial products as they relate to the analysis, tracking, and reporting of various risk metrics. This role often possesses an advanced degree in physics, applied mathematics, statistics/probability or another heavy quantitative discipline. Quantitative analytic staff is focused on and responsible for the development of the theory and mathematics behind various models. Individual Contributor and reports to Quant

Operations Manager

Responsibilities:

• Model and solve operational problems using IE-OR techniques such as mathematical programming, forecasting and discrete event simulation.
• Work with multi-disciplined teams to develop and implement mathematical models of complex real-world problems.
• Identify new areas and potential applications of IE-OR that will help enable Global Operations to streamline operations and optimize customer experience.
• Automate mundane tasks using tools like Visual Basic For Applications (VBA) or Python
• Analyze current system behavior to improve performance, robustness and cost of services and recommend solutions or findings to executive management.
• Analyze and synthesize data for ad hoc studies and model inputs.

Required Skills:

• Master’s degree in industrial engineering or Operations Research or related discipline.
• 1 + years’ experience in developing and implementing Discrete Event Simulation Models using Arena and Optimization models using Excel Solver/Gurobi
• Experience in querying databases using SQL.
• Proficient with advanced MS-Excel and Visual Basic for Applications (VBA).
• Experience in assembling compelling presentations using MS-PowerPoint
• Strong aptitude for problem solving and collaboration.
• Intellectual curiosity and an intrinsic drive to apply quantitative skills to solve real world business questions.
• Excellent verbal and written communication skills.

Desired Skills:

• Prior experience with capacity or resource optimization models
• Prior Banking industry analytics and modeling experience, specifically with developing capacity or resource optimization models that adhere to standards set by a risk management governing body.
• Demonstrated record of tolerance for ambiguity and coping with complexity and change