Quantitative Engineer - Consumer & Wholesale

Bank of America Corp

  • Jersey City, NJ
  • 12 days ago
  • $90,000–$155,500 Per Year

Highlights

Software engineering: modular code, software lifecycle processes, unit testing, regression testingBig data: distributed computing paradigms (e.g., mapreduce, dataframes, etc), optimizing distributed softwareModeling / quantitative: basic modeling techniques (regression, classification, clustering, etc)Skills:Critical ThinkingData ModelingProcess EffectivenessRisk ModelingTest EngineeringInfluenceOral CommunicationsPrioritizationRelationship BuildingWritten CommunicationsAttention to DetailChange ManagementMinimum Education Requirement: Bachelor's degree in related field or equivalent work experienceShift:1st shift (United States of America)Hours Per Week: 40 Learn more about this role Apply × To proceed with your application, you must be at least 18 years of age. Strong Programming skills (e.g., Python) and solid understanding of Software Development Life cycle principlesCandidates should have at least one of these following skills and preferably have at least two of these skills:-Strong analytical and problem-solving skillsExperience applying quantitative methods such as modelling, data analytics, machine learning, and statistics to develop business solutionsExperience with large scale data sets with structured or unstructured dataExperience in building user facing applications over large amounts of data using technologies like React, Angular, JavaScript etc.

Numbers & Facts

LocationJersey City, NJ
Salary$90,000–$155,500 Per Year

Description

Back to search results Quantitative Engineer - Consumer & Wholesale Jersey City, New Jersey Additional locations Apply × To proceed with your application, you must be at least 18 years of age. Acknowledge × Bank of America employees are required to meet all posting eligibility requirements prior to applying for any new position. Acknowledge Refer a friend Apply × To proceed with your application, you must be at least 18 years of age. Acknowledge × Bank of America employees are required to meet all posting eligibility requirements prior to applying for any new position. Acknowledge 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 requirementsUnderstanding 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 processesCollaborate with key stakeholders across the Bank to understand modeling and testing business processes and requirementsThink 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 risksSource and evaluate data required for modeling and testingDesign and develop and implement models and testsProduce clear, concise and repeatable technical documentation models and tests for internal and regulatory purposesRequired 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 experienceA 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 principlesCandidates should have at least one of these following skills and preferably have at least two of these skills:-Strong analytical and problem-solving skillsExperience applying quantitative methods such as modelling, data analytics, machine learning, and statistics to develop business solutionsExperience with large scale data sets with structured or unstructured dataExperience in building user facing applications over large amounts of data using technologies like React, Angular, JavaScript etc.Experience implementing process improvements and automationStrong 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 testingBig data: distributed computing paradigms (e.g., mapreduce, dataframes, etc), optimizing distributed softwareModeling / quantitative: basic modeling techniques (regression, classification, clustering, etc)Skills:Critical ThinkingData ModelingProcess EffectivenessRisk ModelingTest EngineeringInfluenceOral CommunicationsPrioritizationRelationship BuildingWritten CommunicationsAttention to DetailChange ManagementMinimum Education Requirement: Bachelor's degree in related field or equivalent work experienceShift:1st shift (United States of America)Hours Per Week: 40 Learn more about this role Apply × To proceed with your application, you must be at least 18 years of age. Acknowledge × Bank of America employees are required to meet all posting eligibility requirements prior to applying for any new position. Acknowledge Refer a friend Apply × To proceed with your application, you must be at least 18 years of age. Acknowledge × Bank of America employees are required to meet all posting eligibility requirements prior to applying for any new position. Acknowledge Full time JR-26024083 Manages People: No Travel: Yes, 5% of the time Age requirement: Must at least be 18 years of age. New Jersey pay and benefits information New Jersey 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 Share: Save job Job saved

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