Bank Of America Senior Quantitative Engineer 

United States, North Carolina, Charlotte 

636935464

Job Description:

Job Description:

Senior Quantitative engineers in Global Risk are responsible for designing and overseeing the implementof common, reusable, and scalable software components. These components enable GRM’s data and analytical capabilities. These components can be domain independent (e.g., generic data quality tools over

Responsibilities:

• Seek opportunities for consistent improvement in quality, efficiency, and processes

• Partner effectively with senior stakeholders within GRA & EIT, Front Line Units, Technology, Audit and Compliance

• Provide leadership and oversight to less experienced team members

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

• Understanding financial data: schemas, flow, size, data issues, data controls, etc.

• Building performant big data pipelines

• Use programming skills and knowledge of software development lifecycle principles to deliver high quality code for model and testing processes

• Collaborate with key stakeholders across the Bank to understand modeling and testing business processes and requirements

• Think outside the box of current industry standards to develop innovative approaches

• Maintaining and continuously enhancing capabilities over time to respond to the changing nature of portfolios, economic conditions and emerging risks

• Source and evaluate data required for modeling and testing

• Design and develop and implement models and tests

• Produce clear, concise and repeatable technical documentation models and testsfor internal and regulatory purposes

Candidates should have the following technical skills:

• Software engineering: modular code, software lifecycle processes, unit testing, regression testing

• Big data: distributed computing paradigms (e.g.,mapreduce,dataframes,etc), optimizing distributed software

• Modeling / quantitative: basic modeling techniques (regression, classification, clustering,etc

Soft Skills:

• High level of intellectual curiosity

• Experience implementing strategic process improvements and/or automation

• Proven track record of building relationships and effectively influencing key stakeholders

• Adept at detecting and remediating organizational / process weaknesses and deficiencies

• Feels ownership and accountability for delivering high quality work, able to balance multiple priorities and meet strict deadlines

• Strong written, verbal, presentation creation and delivery skills, typically to very senior audiences

• Well organized with attention to detail

• Willing to challenge the status quo and with a track record of driving change

Minimum Education Requirement:

• Bachelor’s degree in Computer Science, a closely related field, or a degree from a program where software engineering was a key focus or equivalent work experience

• 7+ years of relevant work experience

Qualifications:

• At least 7 years of relevant experience in software engineering in Quantitative Finance or other industries

• Strong Programming skills (e.g., Python) and solid understanding of Software Development Life cycle principles

• Proven track record of seamlessly leading and executing enterprise-wide initiatives

• The candidate must be a strong communicator and able to effectively explain the rationale and details of the methodologies to a broad set of audiences that include key senior stakeholders across the Bank, as well as auditors and regulators

• Strong analytical and problem-solving skills

Candidates should have at least three of the following skills:

• Experience applying quantitative methods such as modelling, data analytics, machine learning, and statistics to develop business solutions

• Experience with large scale data sets with structured or unstructured data

• Experience in building user facing applications over large amounts of data using technologies like React, Angular, JavaScript etc.

• Experience implementing process improvements and automation

1st shift (United States of America)