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.
Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people.
The Role
We are looking for an experienced Data Engineer 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.
What You'll Do
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 by applying NLP and AI models
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's 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 building databases
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
Strong problem-solving skills and an analytical mindset
A passion for working with data
What We Offer
Competitive and attractive compensation package with clear career road-map – where you feel challenged everyday
We offer a strong culture of learning and development: training courses, library, speakers, share and learn events
Learn from who sits next to you! Working in WQ you are surrounded by smart and talented people
Premium Health Insurance and Employee Assistance Program
Generous time-off policy, re-creation sabbatical leave (based on tenure), Trade Union benefits for staff and family
Team building activities every month: Local engagement events, monthly team lunch – Employee clubs: football, ping-pong, badminton, yoga, running, PS5, movies, etc.
Annual company trip and occasional global conferences – opportunity to travel and connect with our global teams
Happy-hour with tea break, snacks and meals every day in the office!
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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.