Senior Software Engineer, Back Office

Posted 10 Days Ago
2 Locations
Remote
Hybrid
205K-255K Annually
Senior level
Financial Services
The Role
The Senior Software Engineer will develop and optimize the company's trading systems and data pipelines for machine learning applications. Responsibilities include building and maintaining data infrastructures, leading complex projects, and mentoring other engineers, ensuring effective collaboration with finance and research teams.
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 more than a decade, 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. 


As a Senior Software Engineer on our Back Office Engineering team, you will be developing the company's production trading systems and the data pipelines that drive our machine learning in both production and research. You will be expected to work closely with both our finance and research teams to contribute to a platform that supports a diverse set of requirements and complex trading behaviors.


Your Team


We look for brilliant people with a passion for solving problems through innovation and engineering fundamentals. You’ll work in a collaborative environment that encourages creative thinking and efficient implementation. We embrace experimentation. You’ll work alongside experienced engineers recruited from leading technology companies and universities. You and your team will collaborate closely with top machine learning researchers.

Responsibilities

  • Design and optimize robust, scalable data infrastructure and real-time stream processing systems to support historical and live pipelines using tools like Python, Airflow, Go, and Apache Beam.
  • Develop and maintain observability and remediation tools to monitor and analyze trading performance and risk, ensuring reliability and transparency in operations.
  • Lead efforts to integrate new financial assets and markets, clarifying requirements and ensuring seamless functionality within existing systems.
  • Enhance the resilience, scalability, and performance of accounting and reporting systems to meet evolving business needs.
  • Build advanced tooling to unify data from diverse vendors, standardizing symbol mappings to ensure consistency and accuracy across systems.
  • Lead complex, company-wide projects by collaborating cross-functionally with research, legal, trading, finance operations, data, and infrastructure teams to deliver comprehensive end-to-end accounting and reporting systems.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from various data sources.
  • Guide and support the growth of other engineers on the team by mentoring them and sharing your expertise, best practices, and knowledge.

Requirements

  • Bachelor’s degree in Computer Science or equivalent professional experience in a related technical field.
  • 5+ years of software engineering experience designing and building high-performance, reliable systems.
  • Proven expertise in operating and scaling large-scale, mission-critical production systems, with proficiency in programming languages such as Python.
  • Strong communication and project management skills, particularly in navigating complex technical domains and cross-functional collaboration.
  • Demonstrated ability to mentor engineers and provide leadership in driving technical direction and system architecture.

Preferred Qualifications

  • Expertise in building and optimizing data pipelines (e.g., Apache Airflow, Spark, Kafka).
  • Experience with profiling and performance optimizations on distributed systems.
  • Familiarity with modern Python data science tooling (pandas, polars, dask, duckdb, etc.).
  • Experience with modern data engineering technologies.

Compensation

The base salary range for this position is $205,000 to $255,000 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 $15,000 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 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.

 

Vaccination Requirement

The Voleon Group has implemented a policy requiring all employees who will be entering our worksite, including new hires, to be fully vaccinated with the COVID-19 vaccine. This policy also applies to remote employees, as such employees will be asked to visit our offices from time to time. To the extent permitted by applicable law, proof of vaccination will be required as a condition of employment. This policy is part of Voleon’s ongoing efforts to ensure the safety and well-being of our employees and community, and to support public health efforts.


#LI-JA1

Top Skills

Python
The Company
HQ: Berkeley, CA
169 Employees
On-site Workplace
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.

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