Senior Quantitative Finance Analyst, AML Software Engineer - Jersey City, United States - Hispanic Technology Executive Council

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    Description

    As a Senior Quantitative Software Engineer on the Enterprise Risk Analytics team, your main responsibilities include:

    • Apply quantitative methods to develop capabilities that meet line of business, risk management and regulatory requirements
    • Work effectively within and across Agile teams to design, develop, test, implement, and support high-quality software solutions across a full stack of development tools, and technologies
    • Explain complex technical concepts to both technical and non-technical stakeholders
    • Strong commitment to continuous learning, staying up to date with technologies, and best practices in software engineering
    • Have a creative and innovative mindset, able to think outside the box to solve complex problems
    • Pay attention to detail by carefully reviewing code and documentation to identify and fix issues to protect the quality and reliability of software
    • Be adaptable, able to work in a dynamic environment, and adjust to changing requirements and shifting priorities
    • Ability to work in a highly controlled and audited environment
    • Effective at prioritization, and time and project management
    • Sees the broader picture and is able to identify new methods for doing things
    • Strategic thinker that can understand complex business challenges and potential solutions

    Required Skills:

    • 10+ years of software design and development experience using Python, PySpark/Hadoop, Pandas, NumPy, SciPy, Jupyter notebook etc.
    • Experience with full Software Development Life Cycle (SDLC) including DevOps using Bitbucket/Git, Jenkins, SonarQube etc.
    • Understanding of data engineering best practices related to architecture patterns supporting varying data types, volume, and velocity
    • Analytical skills Ability to troubleshoot and logically assess problems and determine solutions
    • Good problem-solving skills, understanding of different data structures, algorithms, and their usage in solving business problems
    • A broad knowledge financial markets, products, and risk management
    • Degree in Computer Science, or other related fields (MS or PhD is a plus)

    Shift:

    1st shift (United States of America)

    Hours Per Week:

    40