CFO - Corporate Investment Quantitative Finance Analyst (Balance Sheet Forecast Engineering)

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 for conducting quantitative analytics and modeling projects, incorporating quantitative problem-solving skills, professional judgement and core subject matter expertise regarding financial market drivers and products. Key responsibilities include developing new models, analytic processes and systems approaches. Job expectations include coding, scripting, implementations, and statistical and econometric modeling.

Balance Sheet Management (BSM) is a division within the CFO – Corporate Treasury group responsible for providing executive management with accurate and timely forecasts of the balance sheet, net interest income (NII) and analysis of Interest Rate Risk (IRR). 

The BSM Forecast Engineering & Data team is business-technology hybrid whose members are highly driven and have multi-faceted skillsets that allow them to be comfortable working in both business and technology domains.

The team’s workflow is centered on 3 primary goals:

• Supporting and finding ways to improve existing forecasting processes
• Engineering new forecast functionality
• Collaboratively developing large scale solutions in support for forecasting objectives

We are looking for a Quantitative Finance Analyst to help:

• Develop technical solutions to business problems, which requires ability and interest to develop expertise in both disciplines
• Participate in cross-functional projects with business which will provide exposure to and require learning from senior team leaders
• Research technical issues to diagnose root causes

The analyst must be a self-starter who is comfortable working hands-on with financial calculation processes, understanding quantitative concepts and debugging production code on a massively parallel Linux cluster.

Responsibilities:

• Applies quantitative methods that include, but are not limited to, econometric and statistical forecasting models
• Provides quantitative models and analytical support for decision making and risk measurement
• Develops models for deployment on the Quantitative Finance Analytical Platform, a proprietary platform for advanced computational needs within Corporate Treasury
• Maintains an analytical computing platform spanning multiple geographical locations and including thousands of computer cores, leveraging Linux technology and C++
• Writes production code, researching, designing, delivering and implementing quickly and accurately on a shared platform

Skills:

• Analytical Thinking
• Application Development
• Automation
• Solution Design
• Business Intelligence
• Data Modeling
• Financial Management
• Solution Delivery Process
• Technical Strategy Development
• Business Analytics
• Critical Thinking
• Financial Analysis
• Innovative Thinking
• Problem Solving

Required Qualifications:

• Minimum 2 years of relevant professional experience
• Strong desire to learn and use technology for purpose of driving impactful change
• Ability to work well in a cooperative, time-sensitive, results-driven environment
• Ability to manage multiple priorities with minimal supervision

Desired Qualifications:

• Bachelor's degree in Accounting, Finance, or related Quantitative field (Math, Science, Engineering, Analytics, etc.)
• Experience with or strong interest in Banking, Quantitative and Forecasting concepts
• Traditional SQL or distributed databases such as Oracle/MS SQL or Vertica.
• UNIX/LINUX software interaction with languages such as Perl, Python and SQL

Shift:

Hours Per Week: