Quantitative Engineer - Consumer & Wholesale
Quantitative Engineer - Consumer & Wholesale
Jersey City, New Jersey
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**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. 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.
We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve.
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!
**Job Description:**
Quantitative Engineers in Global Risk are responsible for designing and implementing 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 trillions of rows of data) or domain specific (e.g., classification models for surveillance or testing framework for Global Markets processes). Quantitative engineers work with modelers, risk managers, and technologists to understand the current state and design the future state of data and analytics. Quantitative engineers have a combination of software engineering, big data, and modeling skills and the ability to work across the entire spectrum of a big data stack – from data to logic to model to UI to UX.
**Responsibilities:**
+ 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 tests for internal and regulatory purposes
**Required Qualifications:**
+ 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 endeavours 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 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
+ 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.
+ 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)
**Skills:**
+ Critical Thinking
+ Data Modeling
+ Process Effectiveness
+ Risk Modeling
+ Test Engineering
+ Influence
+ Oral Communications
+ Prioritization
+ Relationship Building
+ Written Communications
+ Attention to Detail
+ Change 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
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, 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.
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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. Should you be offered a role with Bank of America, your hiring manager will provide you with information on the in-office expectations associated with your role. These expectations are subject to change at any time and at the sole discretion of the Company. To the extent you have a disability or sincerely held religious belief for which you believe you need a reasonable accommodation from this requirement, you must seek an accommodation through the Bank’s required accommodation request process before your first day of work.
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