Director, Software Engineer
245 Summer St, Boston MA, United States
Job Description:
Job Description:
The Role
Asset Management Technology (AMT) provides worldwide technology and support to all the Investment Management, Research, Trading and Investment Operations functions. We are seeking Director, Software Engineer to join our Quantitative Research & Investing Technology team. You will be responsible for all aspects of software development, testing and ensuring compatibility with enterprise and solutions architecture by harnessing modern development technologies.You will have the chance to define and develop new capabilities and engage with multiple development teams and partners across the Asset Management technology. You are committed to ongoing development of your own expertise and knowledge to bring the latest capabilities and thinking to your team to empower others with that knowledge.
The responsibilities you will have:
- This role will be responsible for all aspects of software development, testing and ensuring compatibility with enterprise and solutions architecture by harnessing modern development technologies
- You will have the chance to define and develop new capabilities and engage with multiple development teams and partners across the Aladdin Product Group
- Developing with Python, Kafka, Docker, Kubernetes and other technologies
- Committed to open source and giving back to the community
- Working with a distributed team, you will be part of an outstanding group of engineers setting and evolving the technology direction for our internal developer systems
- As a key member of our engineering team, you will be encouraged to bring your ideas forward to help craft the technical solutions
- The role will also afford the chance to learn about the financial industry, specifically the sophisticated world of risk management, valuations, and operations
- Help design and build the next generation of world’s best investment management technology platform for managing various Investment lifecycle processes and investment research
- Understand and refine business and functional requirements and convert them into scalable technical design
- Apply validated quality software engineering practices through all phases of development
- Ensure resilience and stability through quality code reviews, unit, regression and user acceptance testing, dev ops and level two production support
The Expertise and Skills You Bring
- 10+ years of industry experience in architecture, analytics, design, and development of solutions in multiple technology platforms, frameworks and languages.
- Bachelor’s degree in a quantitative or computational field such as Computer Science or Applied Mathematics
- Very good communication, interpersonal and relationship building skills to influence decisions and engage across Fidelity and at all levels of the organization
- Domain knowledge in either equities, fixed income or alternative asset classes
- Experience with advanced quantitative techniques and methods, statistics, econometrics – including probability, linear regression, time series data analysis and optimizations
- Ability to work both independently and with all levels of the organization, including technical and non-technical team members.
- Experience with Containerization strategies using Docker and Serverless Application Architectures
- Experience with API Management, domain modeling, policy modeling.
- Experience in Client-Side technologies like HTML 5, JavaScript, CSS3, Angular.
- Experience with CI/CD infrastructure as code and pipeline as code .
- Knowledge of continuous integration, static code analysis and test-driven development.
Certifications:
Category:
Information TechnologyFidelity’s hybrid working model blends the best of both onsite and offsite work experiences. Working onsite is important for our business strategy and our culture. We also value the benefits that working offsite offers associates. Most hybrid roles require associates to work onsite every other week (all business days, M-F) in a Fidelity office.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Angular APIs Architecture CI/CD Computer Science Data analysis Docker Econometrics Engineering JavaScript Kafka Kubernetes Mathematics Open Source Python Research Statistics TDD Testing
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