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Bank of America

Runs a US consumer bank, brokerage and investment bank

Global Markets - Credit Etrading Quant Developer

Quantitative DevelopmentConfirmed live in the last 24 hours
Full-timeNew York, NY, USA

About the Job

Requirements

  • A Bachelor's, Master's, or PhD degree in Computer Science, Engineering, Mathematics, Statistics, Physics, Financial Engineering, a related quantitative discipline, or equivalent work experience is required.
  • Two to eight or more years of experience in software development, quantitative development, electronic trading technology, or a related front-office environment are required.
  • Strong programming skills in Python, Java, C++, or similar object-oriented languages are required.
  • Experience developing scalable applications, data pipelines, and analytical frameworks using large datasets is required.
  • Knowledge of software engineering best practices, including testing, source control, and production support, is required.
  • Experience partnering directly with traders, quantitative researchers, and technology teams to deliver business-critical solutions is required.
  • Strong analytical and problem-solving skills and the ability to operate effectively in a fast-paced front-office environment are required.
  • Demonstrated ability to design, build, and support production-grade applications with measurable business impact is required.

Responsibilities

  • Design, develop, and maintain front-office applications supporting the Credit eTrading business.
  • Build scalable pricing, risk, and analytics platforms used by traders and electronic market-making systems.
  • Develop tools and services that improve automation, electronic execution, and workflow efficiency.
  • Create and enhance real-time data pipelines, analytics frameworks, and trading infrastructure.
  • Partner with quantitative strategists to implement and productionize models used for pricing, execution, and risk management.
  • Work directly with traders to identify opportunities for automation and process optimization.
  • Analyze trading, market, and client activity data to deliver actionable insights and improve platform performance.
  • Support electronic trading initiatives across request-for-quote, streaming, auto-quoting, and algorithmic execution workflows.
  • Collaborate with technology teams to ensure high-performance, reliable, and scalable production systems.

Desired Qualifications

  • Familiarity with distributed computing, cloud technologies, and event-driven architectures is a plus.
  • Knowledge of fixed income, credit markets, electronic trading, or capital markets products is preferred.

About the Company

Bank of America

Runs a US consumer bank, brokerage and investment bank

Bank of America runs one of the largest US banks, serving consumers, small businesses, wealthy families, corporations and institutional investors. Alongside checking accounts, credit cards, mortgages and business loans, it owns the Merrill brokerage, a private bank for wealthy clients and a global investment bank that advises on deals and trades stocks and bonds. Customers reach it through thousands of branches and ATMs and its mobile banking app. It earns money mainly from the gap between what it charges on loans and pays on deposits, plus fees from advice, asset management, deal work and trading. It grew from a San Francisco bank founded in 1904 and is headquartered in Charlotte, North Carolina.

Company size
10,001+
Company stage
IPO
Headquarters
Charlotte, NC
Founded
1904

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