Senior Quantitative Finance Analyst, AML Software Engineer

Jersey City, New Jersey;Charlotte, North Carolina; Chicago, Illinois; Atlanta, Georgia

Job Description:

As a Senior Quantitative Software Engineer on the Enterprise Risk Analytics team, your main responsibilities include:

• Apply quantitative methods to develop capabilities that meet line of business, risk management and regulatory requirements

• Work effectively within and across Agile teams to design, develop, test, implement, and support high-quality software solutions across a full stack of development tools, and technologies

• Explain complex technical concepts to both technical and non-technical stakeholders

• Strong commitment to continuous learning, staying up to date with technologies, and best practices in software engineering

• Have a creative and innovative mindset, able to think outside the box to solve complex problems

• Pay attention to detail by carefully reviewing code and documentation to identify and fix issues to protect the quality and reliability of software

• Be adaptable, able to work in a dynamic environment, and adjust to changing requirements and shifting priorities

• Ability to work in a highly controlled and audited environment

• Effective at prioritization, and time and project management

• Sees the broader picture and is able to identify new methods for doing things

• Strategic thinker that can understand complex business challenges and potential solutions

Required Skills:

• 10+ years of software design and development experience using Python, PySpark/Hadoop, Pandas, NumPy, SciPy, Jupyter notebook etc.

• Experience with full Software Development Life Cycle (SDLC) including DevOps using Bitbucket/Git, Jenkins, SonarQube etc.

• Understanding of data engineering best practices related to architecture patterns supporting varying data types, volume, and velocity

• Analytical skills – Ability to troubleshoot and logically assess problems and determine solutions

• Good problem-solving skills, understanding of different data structures, algorithms, and their usage in solving business problems

• A broad knowledge financial markets, products, and risk management

• Degree in Computer Science, or other related fields (MS or PhD is a plus)

Shift:

1st shift (United States of America)

Hours Per Week:

40

Bank of America and its affiliates consider for employment and hire qualified candidates without regard to race, religious creed, religion, color, sex, sexual orientation, genetic information, gender, gender identity, gender expression, age, national origin, ancestry, citizenship, protected veteran or disability status or any factor prohibited by law, and as such affirms in policy and practice to support and promote the concept of equal employment opportunity and affirmative action, in accordance with all applicable federal, state, provincial and municipal laws. The company also prohibits discrimination on other bases such as medical condition, marital status or any other factor that is irrelevant to the performance of our teammates.

To view the "EEO is the Law" poster, CLICK HERE (https://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf) .

To view the "EEO is the Law" Supplement, CLICK HERE (https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf) .

Bank of America aims to create a workplace free from the dangers and resulting consequences of illegal and illicit drug use and alcohol abuse. Our Drug-Free Workplace and Alcohol Policy (“Policy”) establishes requirements to prevent the presence or use of illegal or illicit drugs or unauthorized alcohol on Bank of America premises and to provide a safe work environment.

To view Bank of America’s Drug-free workplace and alcohol policy, CLICK HERE .