Janus Henderson Group - Denver, CO

posted 1 day ago

Full-time - Mid Level
Hybrid - Denver, CO
Securities, Commodity Contracts, and Other Financial Investments and Related Activities

About the position

A career at Janus Henderson is more than a job, it's about investing in a brighter future together. Our Mission at Janus Henderson is to help clients define and achieve superior financial outcomes through differentiated insights, disciplined investments, and world-class service. We will do this by protecting and growing our core business, amplifying our strengths and diversifying where we have the right. Our Values are key to driving our success, and are at the heart of everything we do: Clients Come First - Always | Execution Supersedes Intention | Together We Win | Diversity Improves Results | Truth Builds Trust. If our mission, values, and purpose align with your own, we would love to hear from you!

Responsibilities

  • Work on a high-performing asset allocation team managing billions of AUM
  • Work closely with the investment team, including a Nobel laureate in economics, on designing systematic investment strategies and research
  • Use key technical skills including senior-level Python development to build and maintain systematic model implementations
  • Upgrade and support the daily data pipeline as it flows through the entire system such as holdings, signals, optimized portfolios, proposed trades and daily reports
  • Combination of self-directed work and teamwork. Initiative and creativity are highly valued.

Requirements

  • 3+ years of financial industry experience preferably in a front office or front office supporting role building production tools and systems responsible for generating trades
  • 3+ years of solid Python programming skills to cleanse, manipulate, and present data, particularly using quantitative data analysis libraries such as Pandas, NumPy, SciPy, etc.
  • 6+ years of full-time experience developing and maintaining enterprise scale applications with many tens of thousands of lines of code
  • Experience with building Python-based software capable of running backtests
  • Experience with SQL, including cleaning and working with very large data sets
  • Experience with Bloomberg and its APIs
  • Experience with Linux command line
  • Experience with Microsoft Office, including Excel and Excel VBA
  • Must be willing to work an early start schedule to accommodate pre-market-open data work
  • Excellent oral and written communication skills, including ability to explain complicated technical information in a simple way to non-technical audiences
  • Ability and willingness to refactor code produced by others and make production-ready
  • Enjoyment from collaborating with others in a fast-paced team environment
  • Drive and self-reliance
  • Must adhere to compliance rules, including for personal trading, that are common for regulated investments firms
  • Bachelor's degree in math, statistics, computer science, or equivalent technical field from an accredited college or university

Nice-to-haves

  • Experience with Apache Airflow
  • Experience with Azure Cloud
  • Experience with Azure DevOps and Git
  • Experience with Docker containers
  • Experience with Microsoft SQL Server
  • Experience with Databricks
  • Experience supporting investment teams that use large options data sets
  • Experience supporting asset allocation/multi-asset teams

Benefits

  • Hybrid working and reasonable accommodations
  • Generous Holiday policies
  • Paid volunteer time to step away from your desk and into the community
  • Support to grow through professional development courses, tuition/qualification reimbursement and more
  • All-inclusive approach to Diversity, Equity and Inclusion
  • Maternal/paternal leave benefits and family services
  • Complimentary subscription to Headspace - the mindfulness app
  • Corporate membership to ClassPass and other health and well-being benefits
  • Unique employee events and programs including a 14er challenge
  • Complimentary beverages, snacks and all employee Happy Hours
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