Senior Quantitative Engineer

Posted 24 Days Ago
2 Locations
Remote
140K-160K Annually
5-7 Years Experience
Software
The Role
Seeking an experienced Python quantitative developer to build, test, deploy, and maintain algorithms for pricing and risk management. Must have 5+ years of experience with Python, quantitative development, numpy, pandas, and cloud computing. Basic math and probability theory knowledge required. Experience in finance and ML/DL frameworks is a plus.
Summary Generated by Built In

Arbol is seeking an experienced Python quantitative developer. The Ideal candidate is someone who has experience working with analysts, researchers and other quantitative developers in commodities or other financial products. This role requires a developer who has implemented models, frameworks and libraries to enable other stakeholders to focus on their own work.

We are looking for an engineer who is capable of task ownership: taking a task, splitting it into pieces, estimating the amount of work, setting expectations, implementing, covering code with meaningful and reasonable tests, and helping others with their development work by reviewing their code and guiding.

What You'll Be Doing

  • Build, test, deploy and maintain algorithms for pricing and risk management
  • Work with Arbol’s insurance and derivatives teams to perform business-critical analytics
  • Build, grow and scale Arbol’s pricing and risk management infrastructure

What You'll Need

  • 5+ years of experience with general CS knowledge and tools: version control, design patterns, CI, various testing approaches, coding environment setup on different platforms, package managers
  • 5+ years experience using Python
  • 3+ years experience in quantitative development
  • 3+ years experience using numpy, pandas
  • 3+ years with cloud computing (AWS is preferred)
  • Basic math and probability theory knowledge

What's Great to Have

  • Experience with ML/DL python frameworks like TensorFlow or PyTorch is a plus
  • Experience in finance (commodities is preferred)

Candidates for this role must be located in the United States.

Top Skills

Python
The Company
HQ: New York, NY
33 Employees
On-site Workplace
Year Founded: 2018

What We Do

Arbol is an InsurTech platform for parametric protection products covering external risks such as unexpected weather. Arbol's proprietary pricing platform, powered by machine learning and an AI underwriter enables customers to customize a coverage program and get a quote with just a few easy clicks.

Arbol uses tamper-proof climate data and blockchain technology to bring transparency and efficiency to the weather risk market. When the selected triggers in a contract are met (ex. a certain amount of rainfall), Arbol's smart contracts execute automatically and trigger a rapid payout. No disputes, delays, or extra paperwork.

Arbol currently serves individuals and businesses in the agriculture, energy, maritime, and hospitality industries. Arbol also offers custom climate risk solutions for businesses large and small in various sectors.

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