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.

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 4 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
• Proficiency in database querying tools (example: Toad for Oracle, Toad Data Point, SQL Server)
• Needs to be comfortable using functions such as COUNTS, SUMS, JOINS, Case statements
• Proficiency in Microsoft Office products, specifically Excel
• Need to be comfortable using these functions: COUNT, COUNTIF, COUNTIFS, SUM, SUMIF, SUMIFS, VLOOKUP, HLOOKUP, IF, MAX, MIN, AVERAGE. As well as Pivot tables and using Excel to compare data sets and conducting trend analysis
• Functional understanding of ETL (Exchange, Transfer, Load) software processes and Software Development Lifecycle processes
• Experience managing data processes
• Validating and reconciling data – Identifying, researching and resolving exceptions
• Generating trend analysis and exception analysis (i.e. understand filtering/logical processes, such as CASE statements)
• Track record of delivering improvements to processes
• Experience delivering multiple projects concurrently

DESIRED QUALIFICATIONS:

• Bachelor’s degree in Accounting, Finance, Economics or related field
• Experience delivering change using Software Development Lifecycle processes
• Familiarity with Agile software delivery methodologies
• Strong written and verbal communication skills
• Collaborative – experience bringing together people/groups to solve complex issues or drive change
• Banking/Capital markets experience or technology project management experience preferred.

• 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

The Quantitative Finance Spot Position team owns and manages the data that feeds the starting point of Balance Sheet Management’s (BSM) Net Interest Income (NII) and Interest Rate Risk (IRR) forecasts, also known as the Current Position process (CP). The responsibilities of a Data Analyst in this team include:

• Ensuring the accuracy and timeliness the data that supports the Current Position (CP) monthly and daily processes for BSM.
• Research and remediate issues and questions associated with sourcing and transformation of said data.
• Be a subject matter expert in the logic used to map, translate, aggregate and filter the source data that is compiled to final end point data (Spot Position)
• Provide guidance to end users on how data will flow into results and how to query/research balances and trends. Be a resource in guiding change (new products or alterations in logic)
• Drive the delivery of enhancements to data outputs:
• Partner closely with end users to understand and document requirements of change
• Translate those changes to means that can be used by technology developers to update code base to make the change(s) requested. Partnering with technology developers to ensure requirements are translated appropriately and setting timelines for delivery
• Manage internal and end user testing of changes and collecting sign off documentation.
• Partner across user base to ensure all appropriate parties are aware of or have reviewed changes.
• Keeping Software Development Life Cycle tracking tickets up to date with requirements, testing evidence and sign offs
• Manage Risk Responsibly:
• Monitor/research and improve data quality checks/recons/processes
• Manage priority queue to ensure timelines are met