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Quantitative Finance Analyst

AT Merrill
Merrill

Quantitative Finance Analyst

Charlotte, NC

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. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day.

One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We're devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being.

Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization.

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Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us!

Job Description:

The WRA Quantitative Developer is responsible for building model software and tooling for the Emissions Calculators and Analytics functions using python and the firm's proprietary calculator platforms. The role requires close collaboration with Model Developers, Model Risk Management Reviewers and Operational Product Owners. Additionally, the role will support data processing, Front end UI buildout and adopting enterprise level controls when executing production exercises. Candidate must be able to communicate across technology partners, model developers and the business lines to execute on viable software solutions, with a focus on end-user experience and controlled usability. Candidate must be strong in understanding the problems and implementing software solution using the Python Programming language.

The role will be responsible for building quantitative software libraries to estimate Greenhouse Gas Emissions resulting from the bank's financing activities. Responsibilities include:

• Designing and Developing mathematical software packages using Python
• Front-end workflow development to allow end-users to run the calculators
• Writing efficient software and iteratively improving it
• Establishing structure for representing mathematical operations
• Testing work output with continuous integration tools/packages like unittest, pytest, jenkins
• Maintaining Code Quality and ensuring numerical correctness
• Troubleshooting software bugs and partnering with peers in Technology to solve problems
• Documenting and responding to requests / queries from Review Group

Skills:

  • Critical Thinking
  • Quantitative Development
  • Risk Analytics
  • Risk Modeling
  • Technical Documentation
  • Adaptability
  • Collaboration
  • Problem Solving
  • Risk Management
  • Test Engineering
  • Data Modeling
  • Data and Trend Analysis
  • Process Performance Measurement
  • Research
  • Written Communications

Minimum Education Requirement: Master's degree in related field or equivalent work experience

Qualifications:
• Three (3) or more years of experience in software engineering
• Understanding of mathematical software packages (numpy, pandas, matplotlib) and risk management
• Aptitude and interest for solving numerical problems with software
• Advanced knowledge of Python programming language, numerical packages like numpy and pandas
• Knowledge of Data structures, Algorithms
• Knowledge of Object Oriented Software Development
• Keenness to learn the firm's software platforms where the product is built and deployed
• Understanding of databases, query languages and tools like Oracle, Spark
• Basic Knowledge of climate risk, financial concepts & products

Desired Qualifications:
• Working Knowledge of Distributed Software Systems

Shift:
1st shift (United States of America)

Hours Per Week:
40

Client-provided location(s): Charlotte, NC, USA
Job ID: Merrill-JR-24021454
Employment Type: Full Time