A work environment that encourages collaboration and innovation. We consistently explore new technologies and tools to be agile.
Workplace flexibility, an environment that welcomes continued professional growth through support of tuition reimbursement, conferences and seminars.
Our culture encourages our people to hone current skills and build new capabilities while discovering their genius.
We provide a modern computing environment based on best-in-class "big data" and cloud computing technologies and the freedom to explore new data sources and statistical and machine learning methodologies.
Our Analytics team is home to some of the most brilliant minds in the market. Here, we will not only understand your stats jokes, we’ll appreciate them.
What you’ll bring:
Bachelors (4 year) degree in statistics, applied mathematics, financial mathematics, engineering, operations research, or another highly quantitative field. And, at least five (5) year of professional experience performing data engineering and analytic work in Financial Services or related industries
Strong analytical, critical thinking, and creative problem-solving skills
Advanced programming skills; proficiency with a statistical language such as R; proficiency in SQL, relational and non-relational databases, query optimization, and data modeling
Proficiency with one or more Data Integration tools (Ab Initio preferred)
Proficiency working in a Linux-based environment, including shell scripting and basic system administration
Experience with Big Data tools, such as Hive and Spark
Versatile interpersonal and communication style with the ability to effectively communicate at multiple levels within and outside the organization; ability to work in a collaborative, fast-paced environment
Strong project management skills with the ability to manage multiple assignments effectively