Position:
Data Scientist
Company:
Voleon Group
Location:
Berkeley
Job Type:
Full-time
Job Mode:
Hybrid
Job Requisition ID:
Not specified
Years of Experience:
Minimum of 1 year of relevant industry experience, including internships
Company Description:
Voleon Group is a cutting-edge technology firm specializing in the application of advanced machine learning methodologies to real-world financial challenges.
With over a decade of pioneering work in the industry, the company has established itself as a leader in leveraging artificial intelligence for investment management.
The organization has successfully grown into a multibillion-dollar asset management firm and continues to set ambitious objectives for future expansion.
The company’s workforce consists of esteemed professionals, including internationally recognized machine learning researchers and experienced finance and technology specialists.
Additionally, Voleon fosters a diverse and dynamic work environment, hiring professionals from various backgrounds such as music, humanitarian aid, opera, sports journalism, and BMX racing.
Employees benefit from a highly collaborative and intellectually stimulating workplace, where innovation and teamwork are strongly encouraged.
The company offers competitive compensation, attractive benefits, engaging technical discussions, a state-of-the-art office, daily catered lunches, and a range of additional perks.
Profile Overview:
Voleon Group is actively forming a specialized team dedicated to advancing its data-driven investment strategies.
As a Data Scientist, the selected candidate will play a pivotal role in extracting meaningful insights from vast and intricate datasets.
The position involves data curation, analysis, interpretation, and visualization, alongside clear communication of findings to research teams and executive leadership.
This role holds immense significance within the company as data insights serve as the backbone of Voleon’s machine learning-driven business model.
The candidate will be expected to develop systems that ensure data accuracy, monitor data integrity, and oversee the health of data storage systems and live feeds.
The role also includes proactively identifying anomalies in production behavior and effectively communicating these findings to relevant stakeholders.
The candidate will conduct impromptu analyses of research and trading systems and provide valuable insights that contribute to optimizing business strategies.
Through a combination of financial expertise and statistical evaluation, the Data Scientist will enhance the company’s trading and research systems.
The job further entails designing automated analysis pipelines to streamline monitoring and evaluation processes.
Responsibilities:
Develop and implement systems for maintaining data accuracy and monitoring the integrity of data sources.
Identify and address irregularities in production systems and effectively relay findings to appropriate stakeholders.
Conduct real-time analyses of research and trading mechanisms, providing leadership with actionable insights.
Utilize financial knowledge and statistical methodologies to extract and leverage key insights from production trading and research operations.
Design and build automated analysis frameworks to optimize ongoing performance monitoring and evaluation.
Qualifications:
Mandatory Requirements:
Minimum of 1 year of hands-on experience in handling complex datasets, including internships.
Proficiency in end-to-end data processing, including data curation, querying, aggregation, exploratory data analysis, and visualization.
Expertise in statistical methods for analyzing data, detecting patterns, conducting root cause investigations, deriving insights, and proposing solutions.
Strong capability in framing and solving problems mathematically.
Ability to interpret retrospective analyses to generate forward-looking strategies.
Proficiency in managing and visualizing tabular data using SQL, Pandas, and R.
Basic programming and software development skills, including experience with Bash scripting, Linux/Unix environments, and Git version control.
Ability to refine vague requirements into concrete deliverables and produce high-quality reports demonstrating strong communication skills.
A bachelor’s degree in a quantitative discipline, such as Statistics, Biostatistics, Data Science, Computer Science, or a related field.
Preferred Qualifications:
A master’s degree in a quantitative discipline is desirable.
Prior experience in the finance sector or demonstrated interest through relevant academic projects, coursework in financial engineering, or industry internships.
Familiarity with development in a production-facing environment and exposure to standard software development concepts such as CI/CD, Git, and workflow automation tools like Airflow.
Additional Information:
Compensation:
The base salary range for this role falls between $150,000 and $190,000, depending on location and various influencing factors.
Individual salaries are determined based on education, experience, skill level, and geographic considerations.
Base salary excludes additional forms of total compensation such as bonuses and other incentives.
The company offers a comprehensive benefits package, including:
Medical, dental, and vision insurance coverage.
Life and accidental death & dismemberment (AD&D) insurance.
20 days of paid time off annually.
9 days of sick leave.
401(k) retirement plan with company matching contributions.
Candidate Referral Program:
Voleon Group runs a "Friends of Voleon" Candidate Referral Program, where employees and external referrers can recommend potential candidates.
Successful referrals that lead to hires qualify for a $7,500 reward, subject to the program’s eligibility criteria and terms.
Interested individuals can submit referrals via a designated form provided by Voleon Group.
Equal Opportunity Employer Statement:
Voleon Group is committed to fostering a diverse and inclusive workplace.
The company ensures equal employment opportunities for all applicants, irrespective of race, color, religion, nationality, age, gender, marital status, sexual orientation, gender identity, genetic information, veteran status, citizenship, or other protected characteristics.
Hiring decisions are based solely on merit and qualifications, in accordance with local, state, and federal laws.
Please click here to apply.
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