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Data Operations Engineer (USA)

Trexquant Investment LP

Stamford (CT)

On-site

USD 105,000 - 193,000

Full time

4 days ago
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Job summary

An established industry player is seeking a Data Operations Engineer to enhance trading processes and operational workflows. This role offers the opportunity to work closely with teams to establish monitoring systems, develop deployment pipelines, and ensure quality control. With a focus on continuous improvement, you'll contribute to a collaborative and friendly work environment. If you're passionate about operational efficiency and system reliability, this position is perfect for you.

Benefits

Health, dental, and vision insurance fully covered
Pre-tax commuter benefits
Weekly company meals

Qualifications

  • Strong knowledge of Python and Linux is essential.
  • Experience with SQL is a plus.

Responsibilities

  • Monitor and optimize trading processes to ensure system reliability.
  • Develop and maintain pipelines for data and strategy deployment.

Skills

Python
Linux
SQL
Attention to detail

Education

Bachelor's in Computer Science
Engineering degree

Job description

Trexquant is a growing systematic fund manager with a core team of highly accomplished technologists. We are currently seeking an enthusiastic and skilled Data Operations Engineer with a strong operational focus to join our team. As a Data Operations Engineer, you will play a crucial role in monitoring and optimizing our trading processes, enhancing our development and deployment processes, and contributing to the overall efficiency and success of our operations. If you are passionate about optimizing operational workflows, ensuring system reliability, and driving continuous improvement, we encourage you to apply.

Responsibilities:

(1) Operational Monitoring and Troubleshooting:

  • Collaborate with teams to establish robust monitoring and alerting systems that provide real-time insights into the trading process status
  • Take a proactive approach to monitoring, promptly identifying and resolving operational issues to minimize downtime and disruptions

(2) Continuous Integration and Deployment:

  • Develop, enhance, and maintain pipelines dedicated to facilitating data/alpha/strategy generation, testing, and deployment procedures
  • Foster close collaboration with research teams to ensure the smooth deployment of scripts, promoting seamless integration of research findings into practical applications

(3) Quality Control and Assurance:

  • Establish and sustain quality control measures to ensure the consistency and robustness of scripts and applications
  • Conduct regular inspections and audits of production lines to identify and rectify any quality-related issues promptly
  • Identify opportunities for continuous improvement within the production process, driven by data analysis and performance metrics
  • Lead or contribute to cross-functional improvement projects aimed at enhancing production efficiency and increasing overall output

(5) Documentation and Reporting:

  • Maintain accurate records of production processes, performance metrics, and quality control data
  • Generate regular reports and provide insights to management on production performance, trends, and improvement initiatives

Requirements:

  • Strong working knowledge of Python and Linux is a must
  • Experience working with SQL is an advantage
  • Prior development experience in fault-tolerant distributed or data intensive applications is a plus Process-driven with strong attention to detail
  • Ability and willingness to adapt to new challenges in a dynamic environment with shifting priorities
  • Background in Computer Science, Engineering or a related field
  • Competitive salary plus bonus bonus based on individual and company performance Collaborative, Casual, and friendly work environment
  • PPO Health, dental and vision insurance premiums fully covered for you and your dependents Pre-tax commuter benefits
  • Weekly company meals

Trexquant is an Equal Opportunity Employer

Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Information Technology
  • Industries
    Technology, Information and Internet and Financial Services

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