The Voleon Group

Data Analyst

Reposted 15 Days Ago

Hiring Remotely in Berkeley, CA

In-Office or Remote

115K-125K Annually

Entry level

Financial Services

The Role

As a Data Analyst, manage data flow for trading algorithms, ensure system operation, improve data quality, and automate data pipelines.

Summary Generated by Built In

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.

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

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.

“Friends of Voleon” Candidate Referral Program

If you have a great candidate in mind for this role and would like to have the potential to earn $7,500 if your referred candidate is successfully hired and employed by The Voleon Group, please use this form to submit your referral. For more details regarding eligibility, terms and conditions please make sure to review the Voleon Referral Bonus Program.

Equal Opportunity Employer

The Voleon Group is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

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Top Skills

Linux

Pandas

Python

SQL

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The Company

HQ: Berkeley, CA

169 Employees

Year Founded: 2007

What We Do

Founded in 2007 by two machine learning scientists, The Voleon Group is a quantitative hedge fund headquartered in Berkeley, CA. We are committed to solving large-scale financial prediction problems with statistical machine learning.

The Voleon Group combines an academic research culture with an emphasis on scalable architectures to deliver technology at the forefront of investment management. Many of our employees hold doctorates in statistics, computer science, and mathematics, among other quantitative disciplines.

Voleon's CEO holds a Ph.D. in Computer Science from Stanford and previously founded and led a successful technology startup. Our Chief Investment Officer and Head of Research is Statistics faculty at UC Berkeley, where he earned his Ph.D. Voleon prides itself on cultivating an office environment that fosters creativity, collaboration, and open thinking. We are committed to excellence in all aspects of our research and operations, while maintaining a culture of intellectual curiosity and flexibility.

The Voleon Group is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.