Quantitative Finance Analyst- Non Registered (CFO)

Bank of America • Charlotte, NC

11d • Onsite

About The Position

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 Bank of America’s Quantitative Finance Group is seeking a Software Engineer to join the team. The analyst must be a self-starter with strong programming skills who is interested in a technical role and has at least 2 years of professional Linux software development experience. Should be interested in working with production code in for high performance computation Linux clusters and database architecture & administration. The analyst will work on a team that is responsible for design, implementation and operation of daily processes that are of critical importance to both the Treasury group and Bank of America as a whole. The role involves a mix of developing new systems and supporting existing processes and applications. This job is responsible for conducting quantitative analytics and modeling projects for specific business units or risk types. Key responsibilities include developing new models, analytic processes, or systems approaches, creating technical documentation for related activities, and working with Technology staff in the design of systems to run models developed. Job expectations include having a broad knowledge of financial markets and products.

Requirements

• Bachelor’s Degree in Computer Science, another STEM field
• 2+ years professional experience in Linux software development
• Professional experience writing code in dynamically-typed languages such as Python, Perl, Lua, Ruby, Javascript, etc.
• Professional experience working with Unix/Linux operating systems including being comfortable working on the command line
• Experience using Source Code and Version Control systems like Git or SVN
• Experience with traditional SQL or distributed databases such as Oracle, MS SQL or Vertica.
• Demonstrate a passion for working with technology
• Work well in a cooperative, time-sensitive, market-driven environment
• Manage multiple priorities with minimal supervision
• Success in working independently and with the group on complex problem solving
• Analytical skills, critical thinking and a strong desire to learn

Nice To Haves

• Experience working with big data projects using tools like Hadoop, Spark, HBase, MapReduce, etc.
• Understanding of economics and financial markets, especially with Mortgages

Responsibilities

• Performs end-to-end market risk stress testing including scenario design, scenario implementation, results consolidation, internal and external reporting, and analyzes stress scenario results to better understand key drivers
• Supports the planning related to setting quantitative work priorities in line with the bank’s overall strategy and prioritization
• Identifies continuous improvements through reviews of approval decisions on relevant model development or model validation tasks, critical feedback on technical documentation, and effective challenges on model development/validation
• Supports model development and model risk management in respective focus areas to support business requirements and the enterprise's risk appetite
• Supports the methodological, analytical, and technical guidance to effectively challenge and influence the strategic direction and tactical approaches of development/validation projects and identify areas of potential risk
• Works closely with model stakeholders and senior management with regard to communication of submission and validation outcomes
• Performs statistical analysis on large datasets and interprets results using both qualitative and quantitative approaches

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Number of Employees: 5,001-10,000 employees