Senior Quantitative Developer- Data Infrastructure Engineering

| Chicago

We are a data-driven organization and are seeking Senior Quantitative Developers to lead us on taking our data to the next level. We collect large volumes of data from both internal and external sources, requiring talented individuals to identify opportunities to improve and expand our data capabilities. Working on our data infrastructure is a high impact position and you will work closely with Tech and Trader Management to identify priorities, requirements and resourcing in order to execute tasks accordingly.

What you’ll do as a Sr. Quant Developer on the Data Infra team at Akuna:

  • Lead the effort to democratize data access at Akuna, powering analyses and strategies with easy access to high quality data
  • Architect, implement, and improve tools that build and interact with our diverse data
  • Provide technical leadership and mentorship to the data infrastructure team
  • Promote and standardize our data management best practices
  • Work closely with stakeholders throughout the firm to identify how data is consumed by quants, traders and developers at Akuna
  • Build and deploy pipelines to collect and transform our rapidly growing Big Data set, while migrating off of legacy infrastructure
  • Propose and effect changes to our data generation processes and provide a vision for how data fits into the Akuna ecosystem
  • Produce clean, well-tested, and documented code with a clear design to support mission critical applications
  • Challenge the status quo and help push our organization forward, as we grow beyond the limits of our current tech stack

Qualities that make great candidates:

  • BS/MS/PhD in technical field – Computer Science, Engineering, Physics, Math, or equivalent
  • 5+ years of professional experience developing software applications, with substantial Python experience, other languages like C++, Scala or Go are a plus
  • Experience with common Big Data technologies, like Kafka and Spark, is a big plus
  • Demonstrated experience working with diverse data sets and frameworks across multiple domains – financial data experience not required
  • Interest or experience in building scalable, containerized workflows using Docker
  • Highly motivated and willing to take ownership of high-impact projects upon arrival
  • Demonstrated experience using software engineering best practices to deliver complex software projects
  • Must possess excellent communication, analytical, and problem solving skills
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Location

333 South Wabash Avenue , Chicago, IL 60604
333 South Wabash Avenue , Chicago, IL 60604

Perks of working here

401(K)
Company Outings
Dental
Generous PTO
Happy Hours
Health Benefits
Tuition Reimbursement
Vision
Volunteering Opportunities
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