WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform.
WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement.
Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it.
The Role:
We are looking for an experienced Python developer who will help us to build and maintain an ecosystem for processing multiple datasets from different sources (both internal and external) vital to the firm’s investment operations.
Key Responsibilities:
- Creating automated data processing system and monitoring/maintaining it
- Integrating multiple data sources and databases into one system
- Developing interfaces and micro services in Python
- Enriching company’s data
- Preprocessing and cleansing of semi-structured or unstructured data
- Developing efficient algorithms for data processing
- Testing and integrating external APIs
- Supporting Business Analysts team
What You’ll Bring:
- A bachelor / master degree in a technical or quantitative field from top university
- At least 3 years of experience as a data engineer or software developer
- Excellent programming skills
- Experience with data processing using Python
- Experience with databases, at least SQL ones
- Experience with Containers and Kubernetes
- Scripting skills in UNIX environment: shell, python Fire, etc.
- Experience with code versioning tools (e.g. Git), issue tracking tools (e.g. Jira)
- Debugging skills, eye for detail and identifying problems
- Able to work with / refactor legacy Python code
- A passion for working with data
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WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.
