Bank Of America Quantitative Engineer 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 and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates' physical, emotional, and financial wellness through affordable, competitive and flexible benefits. Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us! This job is responsible for designing, developing, testing and implementing common, reusable, and scalable software components which are either domain independent or domain specific. Key responsibilities include enabling Global Risk Management's data and analytical capabilities. Job expectations include working with modelers, risk managers, and technologists to understand the current state and design the future state of data and analytics.
Responsibilities:- Applies quantitative methods to develop capabilities that meet line of business, risk management and regulatory requirements
- Understands financial data: schemas, flow, size, data issues, data controls, etc.
- Builds performant big data pipelines
- Uses programming skills and knowledge of software development lifecycle principles to deliver high quality code for model and testing processes
- Collaborates with key stakeholders across the Bank to understand modeling and testing business processes and requirements
- Thinks outside the box of current industry standards to develop innovative approaches
- Maintains and continuously enhances capabilities over time to respond to the changing nature of portfolios, economic conditions and emerging risks
Required Qualifications: Candidates should meet all or a subset of 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)
- 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
A minimum of 1-2 years relevant professional experience or evidence of personal projects and endeavors that show a passion for coding and problem solving.
Strong Programming skills (e.g., Python) and solid understanding of Software Development Life cycle principles
Candidates should have at least one of these following skills and preferably have at least two of these skills:
Strong analytical and problem-solving skills
Experience applying quantitative methods such as modeling, 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
Strong Python development skills (including Pandas and related data-processing libraries).Experience with big data technologies such as Spark, PySpark, Hadoop, and Hive.
Exposure to quantitative modeling or financial modeling is a plus, but not required.
Skills:- Critical Thinking
- Data Modeling
- Process Effectiveness
- Risk Modeling
- Test Engineering
- InfluenceOral Communications
- PrioritizationRelationship Building
- Written Communications
- Attention to DetailChange Management
- Minimum Education Requirement: Bachelor's degree in related field or equivalent work experience
Shift: 1st shift (United States of America)
Hours Per Week: 40 Pay Transparency detailsUS - NJ - Jersey City - 525 Washington Blvd (NJ2525)
Pay and benefits information Pay range$90,000.00 - $155,500.00 annualized salary, offers to be determined based on experience, education and skill set. Discretionary incentive eligible This role is eligible to participate in the annual discretionary plan. Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors, the performance and contributions of their line of business and/or group; and the overall success of the Company.
Benefits:
This role is currently benefits eligible. We provide industry-leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve.
