Grid Dynamics is a leading provider of technology consulting, engineering, and data science services for Fortune 500 corporations from financial, technological and retail sectors. It has been operating since 2006, is headquartered in California, and has development centers in the United States and Eastern and Central Europe. As of today, Grid Dynamics brings together more than 4,000 engineers in 14 countries and continues to grow steadily.
Grid Dynamics is a NASDAQ-listed public technology services company with core expertise in Big Data, Data Science, ML & AI, scalable omnichannel services, DevOps, and cloud enablement. Find more details: https://www.griddynamics.com/
You are getting tremendous opportunities of working in cutting-edge Big Data projects dealing with dozens of petabytes of data under extremely high load having millions of events per second. It leads data processing to the next level helping humanity to set more and more ambitious targets in different areas of Science, Business, Healthcare and Environment Protection, and achieve it.
Our customer is one of the world’s largest technology companies based in Silicon Valley with operations all over the world. We are looking for an enthusiastic and technology-proficient Big Data Developer, who is eager to participate in design and implementation of a top-notch big data solution that will be deployed at a massive scale.
We are looking for a DevOps engineer to create and support CI/CD infrastructure for BigData projects. The successful candidate will come up with a vision for tools and processes. The candidate will work in a globally distributed team.
If you are excited about all aspects of modern engineering, from writing great code, to creating architectures, designing components, interacting with clients, and delivering a working system to production, then you are the kind of person we are looking for. If you enjoy freedom and responsibility, creative thinking, leading and mentoring others, then join our team!
We are actively seeking a great Java Engineer with good technical expertise, who is interested in joining our growing project. Our customer is a global international software company that has a vision how to help companies make their data useful, usable and meaningful. As a key engineer, you will be working in collaboration with worldwide industry experts.
WorldQuant is a global quantitative asset management firm guided by the belief that there are an infinite number of insights to discover. Fueled by divergent thinking and a relentless pursuit of ideas, WorldQuant’s more than 750 employees around the globe are all striving to get to the future faster.
WorldQuant is seeking an exceptional individual to join the firm as a Quantitative Researcher. The person must have a strong understanding of the investment research process to create computer-based models that seek to predict movements of global financial markets. While prior finance experience is not required, a successful candidate must possess a strong interest in learning about finance and global markets. Candidates will have a research scientist mind-set; be a self-starter, a creative and persevering deep thinker who is motivated by unsolved challenges.
The Role: We are seeking an exceptionally hardworking data scientist with strong modeling and programming skills to join our team. In this role, you will work on turning financial and alternative data into investment-ready datasets.
The Role: WorldQuant is seeking an outstanding Business Assistant. Working closely with the General Manager (GM) and the GM Office, the Business Assistant will support the team with administrative tasks to enable team members to focus on more specialized duties.
Research is at the core of WorldQuant. Through meticulous exploration and unconstrained thinking about how to apply data to the financial markets, our researchers are in constant search of new alphas. We strive to understand data in ways our competitors don’t believe is possible. Researchers at WorldQuant employ tested processes seeking to identify high-quality predictive signals that we believe are undiscovered by the wider market. These signals are mathematical expressions of data that are used as inputs in our quantitative models.
The Role: This is a highly unique opportunity for a Quantitative Researcher to join a new and rapidly growing team. In this role you will partner with a close-knit team of data scientists, data engineers, technologists and data sourcing colleagues to identify and research new sector or broad Alphas based on a deep understanding of fundamentals.