Data Analyst

About The Voleon Group

Voleon is a technology company that applies state-of-the-art machine learning techniques to real-world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying machine learning to investment management. We have become a multibillion dollar asset manager, and we have ambitious goals for the future.

Your colleagues will include internationally recognized experts in machine learning research as well as highly experienced technology and finance professionals. The people who shape our company come from other backgrounds, too, including concert music performance, humanitarian aid, opera singing, sports writing, and BMX racing. You will be part of a team that loves to succeed together.

In addition to our enriching and collegial working environment, we offer competitive compensation and benefits packages, technology talks by our experts, a modern office, catered lunches, and more.

The Role: Data Analyst

As a Data Analyst, you will be part of a team responsible for owning and simplifying the flow of data used by production trading algorithms at Voleon. The primary responsibility of our team is to ensure continuous operation of production-critical systems by leveraging an on-call rotation. When not taking part in this rotation, your work will focus on improvements to our data-consumption pipelines. Such improvements include the curation and onboarding of datasets for consumption and leveraging data analytics to inform updates to the softwares which form the back-end of these pipelines. This role is a means to make a difference: as a machine learning company, data is essential to our business.

Responsibilities

• Share an on-call rotation; act as first responder ensuring the health and continuous operation of production-critical systems.
• Perform manual steps and develop automated processes to ensure the completeness and integrity of massive amounts of mission critical financial data pertaining to stocks, bonds, futures, commodities, and more.
• Partner with Members of Research Staff to curate and onboard new and existing datasets.
• Help drive continuous improvements to data quality procedures and a consistent approach to how data quality is measured, monitored, and reported in our production environments.
• Design systematic and automated processes and tools that allow for scaling and reliability of data-consumption pipelines.

Requirements

• Coursework or other relevant training in data analytics, programming, or computing systems.
• Proven problem-solving and analytical abilities including pattern detection, root cause analysis, and issue resolution.
• Experience with Python, pandas, and an interest in programming and data analysis.
• Experience with SQL and working with a relational database system.
• A degree in a technical field.

Preferred Qualifications

• Relevant experience in data operations, with proven process improvement skills.
• An understanding of the software development process and exposure to hands-on coding in a professional environment.
• Experience in exploratory data analysis and applied statistics.
• Experience interacting with Linux kernels.
• While financial industry experience is a plus, we are open-minded in our search for critical thinkers who are passionate about technology and data.

Compensation & Benefits

The base salary for this position is $115,000 to $125,000 in the location(s) of this posting. Individual salaries are determined through a variety of factors, including, but not limited to, education, experience, knowledge, skills, and geography. Base salary does not include other forms of total compensation such as bonus compensation and other benefits. Our benefits package includes medical, dental and vision coverage, life and AD&D insurance, 20 days of paid time off, 9 sick days, and a 401(k) plan with a company match.

Key skills/competency

• Data Analytics
• Python
• SQL
• Pandas
• Relational Databases
• Data Pipelines
• Automated Processes
• Root Cause Analysis
• Financial Data
• Production Systems