Senior Systematic Trading Software Engineer

Quanta Search

$120K — $150K *
Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in software development, especially in a trading desk environment.
  • Expertise with Python3 and experience in creating statistical research platforms.
  • Proficient in distributed and parallel computing systems, ideally using cloud services.
  • Strong background in performance optimization for complex systems.
  • Ability to effectively collaborate and communicate with traders and quantitative analysts.

Responsibilities

  • Collaborate with traders, quants, and technologists to understand requirements and offer solutions.
  • Engineer computing solutions for complex, data-intensive research tasks.
  • Build data pipelines for processing large structured and unstructured datasets.
  • Establish testing frameworks to validate code correctness and performance of models.
  • Design and implement trading services to rapidly transition research ideas into production.

Benefits

  • Opportunity to work with cutting-edge technology including Dask and microservices.
  • Collaborative environment that encourages knowledge-sharing among team members.
  • Direct involvement with cross-functional teams impacting trading strategies.
  • Chance to work with large and diverse datasets for impactful financial research.
Full Job Description
As a python engineer on their systematic trading desk, you will have the opportunity to work on groundbreaking technology such as Python3, Dask, time series databases and microservices, and make an impactful contribution to the firm. You will work closely with multiple functions throughout the organization including quant models, backtesting platforms and trading systems. This role will give you the chance to work in a collaborative setting sharing your ideas, while also gaining knowledge from fellow teammates! What You'll Do Collaborate with traders, quants and technologists to drive requirements and propose solutions. Engineer compute solutions to handle sophisticated and data-heavy research processes. Build robust data pipelines to process and analyze large structured and unstructured datasets. Create testing frameworks to ensure correctness and model code performance. Design and implement trading services that quickly convert research ideas into production. What We're Looking For Experience in software development on a trading desk or in a fast-paced and forward-thinking environment. Ability to understand trade-offs when building a service-oriented system, and balance long-term strategic planning and short-term tactical solutions to meet evolving needs of the business. Expertise in distributed parallel compute systems, preferably cloud. Strong understanding and hands-on experience with performance optimization. Python experience building statistical research and analytic platforms with large and diverse historical datasets. Ability to independently identify system problems and solutions. Desire to be a member of a fast-growing team with evolving priorities.

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