Weather & Energy, Quantitative Developer/Analyst- Hybrid

Swiss Re-posted 7 months ago
$112,000 - $180,000/Yr
Mid Level
Hybrid • New York, NY
Insurance Carriers and Related Activities
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In this role you would support the international Weather & Energy Markets department of Swiss Re and be part of the Business Intelligence & Analytics team. You would work closely with the other teams in Origination and Underwriting on tailor-made derivative contracts for institutional investors who want to hedge against weather and commodity price risks.

  • Develop and maintain IT infrastructure and processes for pricing, booking and valuating derivative contracts.
  • Participate in various projects and initiatives regarding portfolio steering, product development, support on reporting, KPI tracking, risk reviews and governance matters.
  • Collaborate with various internal stakeholders to understand requirements and develop solutions.
  • Provide ad hoc services and take ownership in projects and deliverables.
  • Master's degree in a quantitative science (data, computer, engineering, mathematics incl. statistics, economics).
  • 3 years object-oriented programming experience covering common languages Python, R, or C++.
  • Professional database development experience in SQL (PostgreSQL), Oracle as well as SQL Servers.
  • Working experience in both Windows and Linux/Unix environments, fluent in shell scripting including Windows PowerShell.
  • Experience with Excel.
  • Able to communicate in English and independently collaborate with internal customers.
  • Strong desire to work in virtual, multi-national, multi-cultural, cross-company and cross-functional teams.
  • Familiar with financial market products and some knowledge of the insurance/reinsurance industries.
  • Knowledge in statistical analysis and experience in processing large data sets.
  • Working experience in various Cloud environments (e.g. AWS or Azure).
  • Familiar with weather and energy commodity markets, power and gas trading and data analysis.
  • Hybrid work model with expectation to be in the office three days per week.
  • Total compensation approach considering base pay, short-and long-term incentives, and benefits.
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