Job Description

Responsibilities

• In today's world data and data analytics is critical to all investment systems supporting front, middle and back office. In this role you will be working as part of a full stack team that supports QEG's cloud enabled signal generation, back testing, data, and analytics platforms.
• These platforms are used to manage QEG's active, factor and alternate strategy funds. You will also learn how the global investment industry and primary market trading works while working with complex and modern technologies in a truly global organization.
• If you are looking for a challenge and want hands-on experience with exciting, cloud technologies and AWS services as well as work closely with highly talented IT individuals, business partners to build and increase investment acumen, this is the job for you.
• We are looking for a developer, passionate about technology and adopting modern software engineering practices to join us in building next generation quantitative research platforms in the cloud. In this role, you will work within a full stack team alongside our Business Partners and Product Owners and an extremely motivated team of developers committed to working in an Agile environment.
• You will help us in doing POCs to validate patterns proposed by our architecture and platform teams and help deploy AWS applications to production.
• You will also help upskill the department towards adopting cloud technologies by facilitating and participating in tech talks.
• Ideal candidate will have a strong focus on delivering code that is observable, resilient, and secure.

Qualifications

• Strong Python Software development experience developing Analytic applications using large data sets
• Skilled in Python (NumPy, Pandas, scikit-learn, Dash, Dask, Flask, Boto3, etc.)
• Strong SQL expertise along with experience fine tuning SQL queries.
• Experience building & supporting AWS architecture and using AWS services like EC2, CloudWatch, ECS, Sage Maker, ECS, Steps Functions, Lambda, Postgres, Aurora
• Experience with CI/CD pipeline tools like Bamboo, Bitbucket, Artifactory, Ansible
• At least 4 years of experience with the above skillsets.
• Experience working in an Agile Development environment.
• Experience with software engineering fundamentals including object-oriented design, data structures, dependency injection, testable code, and algorithms.
• Experience with software engineering tools, such as PyCharm, VS Code, Git, and others.
• Able to write clean, maintainable code, and read code created by others.
• Highly collaborative, fast learner, willing to jump in and help wherever needed.
• Enthusiasm for learning and experimenting with new technologies, tools, and processes.

Required Skills : Python

Basic Qualification :

Additional Skills :

Background Check : No

Drug Screen : No

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