Bank of America is looking to solve problems related to quantitative analytics, modeling, and data management for financial forecasting and risk measurement.
Requirements
- 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
Responsibilities
- Conducting quantitative analytics and modeling projects
- Developing new models, analytic processes and systems approaches
- Coding, scripting, implementations, and statistical and econometric modeling
- 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
- Writes production code, researching, designing, delivering and implementing quickly and accurately on a shared platform
Other
- 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
- Bachelor's degree in Accounting, Finance, Economics or related field
