Job 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
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