Fidelity-posted 5 days ago
Full-time • Principal
Hybrid • Boston, MA
5,001-10,000 employees

The Role Strategic Advisors Technology (SAT) is looking for a Principal Software Engineer who not only cares about what you produce but how you produce it. We are looking for individuals who continually strive to advance engineering excellence and technology innovation and apply sophisticated analytics and quantitative concepts to support investment needs and develop new solutions. You will build high quality, robust, and efficient analytical solutions to improve internal investment processes with quantitative techniques and methods, statistics and. You would participate in full stack development projects on the front-end User Interface (UIs) and back-end Application Programming Interfaces (APIs) using Java, Python. Apply sophisticated analytics and quantitative concepts to support investment needs and develops new solutions. Adds scale, rigor, and repeatability to research through software development standard methodologies. Apply data mining, data modeling, natural language processing, and Machine Learning to extract and analyzes information from large structured and unstructured datasets. The Team Fidelity Asset Management Technology (AMT) provides worldwide technology and support to all the Portfolio Management, Research, Trading and Investment Operations functions. AMT is an integral partner for Asset Management to deliver innovative, scalable, industry-leading investment tools that enables the business to achieve competitive advantage globally. You work in partnership with Squad members aligned to the Model Management Product Area. By demonstrating and promoting Fidelity and agile behaviors, you evolve and sustain our innovative, agile culture. The team partners with the investment teams in Strategic Advisors on various projects including model construction, portfolio construction and trading Managed Accounts. We create high quality, robust, and efficient high-responsive solutions that are used to enhance Strategic Advisors productivity and decision-making processes.

  • Apply sophisticated analytics and quantitative concepts to support investment needs and develops new solutions.
  • Adds scale, rigor, and repeatability to research through software development standard methodologies.
  • Apply data mining, data modeling, natural language processing, and Machine Learning to extract and analyzes information from large structured and unstructured datasets.
  • Lead application design efforts, participate in design reviews and code reviews.
  • Ensure quality through test case development and regression testing.
  • Contribute to enhancing engineering practice in the areas of ATDD and CI/CD.
  • Engaging in working with global team of developers in leading best practices for software engineering.
  • Strong foundation in quantitative techniques and methods, including statistics, econometrics, probability, linear regression, and time series analysis, with experience applying these to investment research and model development.
  • Expertise in Python, Java, and SQL, leveraging advanced analytics and software engineering skills to build scalable, reliable solutions.
  • Proven ability to implement research projects through the entire software development lifecycle, applying full-stack development and best practices for repeatability and rigor.
  • Experience with AWS cloud development and deployment, and building enterprise cloud-enabled distributed systems.
  • Skilled in data mining, modeling, and advanced analytics, adding scale and reliability to research through software engineering methodologies.
  • Domain knowledge in equities, fixed income, or alternative asset classes, supporting investment needs with innovative solutions.
  • Ability to lead application design efforts, participate in design reviews and code reviews, and ensure quality through test case development and regression testing.
  • Strong understanding of legacy monolithic architectures and expertise in migrating to microservice-based architectures.
  • Consistent track record of hands-on development of complex software solutions, including CI/CD and ATDD practices.
  • Effective collaborator with quantitative and fundamental researchers, divisional partners, and global development teams, thriving in fast-paced environments with competing priorities.
  • Demonstrated technical and organizational leadership, coaching and motivating team members to achieve optimal performance and career growth.
  • Committed to problem-solving, communication, and continuous improvement in engineering practices.
  • Fully engaging in product quality plan efforts, including test case development, design and code reviews and regression testing.
  • comprehensive health care coverage and emotional well-being support
  • market-leading retirement
  • generous paid time off and parental leave
  • charitable giving employee match program
  • educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career
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