Production Engineer, Two Sigma Securities

New York, NY, US • Posted 5 days ago • Updated 4 days ago
Full Time
On-site
USD $165,000.00 - 250,000.00 per year
Fitment

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Job Details

Skills

  • Investment Management
  • Data Science
  • Quantitative Research
  • Risk Management
  • Equities
  • Algorithmic Trading
  • Securities
  • Research
  • Artificial Intelligence
  • Machine Learning (ML)
  • Production Engineering
  • Automated Testing
  • Crisis Management
  • Systems Design
  • Capacity Management
  • Network
  • Management
  • Microsoft Exchange
  • Collaboration
  • Reliability Engineering
  • Object-Oriented Programming
  • Python
  • Java
  • C++
  • Problem Solving
  • Debugging
  • Real-time
  • Trading
  • Lifecycle Management
  • Insurance
  • Training
  • Budget
  • Forms

Summary

Position Summary

Two Sigma is a leading quantitative investment management and trading firm. The company applies a scientific approach to investing, combining cutting-edge technology, artificial intelligence, data science, and quantitative research with rigorous human inquiry to capitalize on market opportunities and deliver alpha for investors.

Our team of engineers, quantitative researchers and data scientists looks beyond the traditional to test hypotheses and develop creative solutions to some of the world's most complex economic problems.

Two Sigma Securities brings a scientific approach to systematic trading and risk management to make markets more efficient. Our team trades over 10,000 US equities and 4,000 listed options, leveraging our high performance trading system to execute over 850 million shares per day. Two Sigma Securities is entering an exciting growth phase. We value the insights of our colleagues and encourage them to innovate and shape their own work agenda. New joiners use our proprietary platform to work on diverse projects. From building next generation trading technologies and researching novel AI and machine learning techniques to enhancing our strategies and deploying automation, our team is pushing the frontier in systematic trading.

We are looking for a Production Engineer with a strong technical development background to join our dynamic, fast-paced team. This role will involve building and supporting our trading environments in the US, Asia and Europe, as well as contributing to our advancement into digital assets trading. Our Production Engineering team is primarily focused on developing tools, automated testing and integration software, maintaining infrastructure, real-time monitoring, performance measurement, and managing the release and deployment lifecycle. This is an exciting and impactful opportunity where you will play a crucial role in ensuring the efficiency and reliability of our electronic trading systems, working closely with our quantitative traders and researchers.

You will take on the following responsibilities:


  • Develop and maintain scalable, ultra-low latency systems focused on automation, including deploying new features and fixes for a global multi-asset electronic trading business.

  • Enhance real-time monitoring and refine incident and crisis management SLOs, diagnosing and resolving issues with intraday transactions.

  • Design and implement architecture and support for the proprietary trading environment, including system design consulting, platform management, capacity planning, tools development, network, colocation site management, and vendor/exchange connectivity across three continents.

  • Collaborate with software and infrastructure teams to define and improve technical and operational best practices.



You should possess the following qualifications:


  • Minimum 1 year of experience required; 1-5 years of experience preferred in Production or Reliability Engineering

  • BS in a relevant discipline is required

  • Ability to program (structured and OO) with one or more high level language (such as Python, Java, C++)

  • Proven track record for automating processes combined with an algorithmic approach to solving problems

  • Ability to profile and debug applications in real time

  • Trading domain and order lifecycle management knowledge is a plus



You will enjoy the following benefits:


  • Core Benefits: Fully paid medical and dental insurance premiums for employees and dependents, competitive 401k match, employer-paid life & disability insurance

  • Perks: Onsite gyms with laundry service, wellness activities, casual dress, snacks, game rooms

  • Learning: Tuition reimbursement, conference and training sponsorship

  • Time Off: Generous vacation and unlimited sick days, competitive paid caregiver leaves

  • Hybrid Work Policy: Flexible in-office days with budget for home office setup



The base pay for this role will be between $165,000 and $250,000. This role may also be eligible for other forms of compensation and benefits, such as a discretionary bonus, health, dental and other wellness plans and 401(k) contributions. Discretionary bonus can be a significant portion of total compensation. Actual compensation for successful candidates will be carefully determined based on a number of factors, including their skills, qualifications and experience.

We are proud to be an equal opportunity workplace. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity/expression, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics.

Two Sigma is committed to providing reasonable accommodations to qualified individuals in accordance with applicable federal, state, and local laws.

If you believe you need an accommodation, please visit our website for additional information.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90922487
  • Position Id: 24811124
  • Posted 5 days ago
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