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Quantitative Developer/Analyst, Weather & Energy - Hybrid (London, GB)

Job at Swiss Re in Greater London

Our company has a hybrid work model where the expectation is that you will be in the office three days per week.

About the role

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.

Your responsibilities include:

You would be responsible for developing and maintaining our IT infrastructure and processes for pricing, booking and valuating derivative contracts. In addition you would be assigned on various projects and initiatives in regards of portfolio steering, product development, support on reporting, KPI tracking, risk reviews and governance matters.

This involves collaboration with various internal stakeholders to understand requirements and develop solutions, provide ad hoc services and take ownership in projects and deliverables.

About the Team

Swiss Re Corporate Solutions is a leading global market in the Weather, Energy, Commodity and Power Plant risk transfer market. We offer a wide range of climate, power, natural gas, and power plant outage risk solutions in insurance and capital market form.

Our clients include power and gas utilities, retailers, independent power producers, renewables, banks, and other energy industry sectors

About you

Master's degree in a quantitative science (data, computer, engineering, mathematics incl. statistics, economics) Analytical problem-solving skills and interest in learning new techniques including personal improvement 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

Additional skills which are a plus:

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 #LI-Hybrid

About Swiss Re Corporate Solutions

Swiss Re is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer. We anticipate and manage risks, from natural catastrophes and climate change to cybercrime.Swiss Re Corporate Solutions is the commercial insurance arm of the Swiss Re Group. We offer innovative insurance solutions to large and midsized multinational corporations from our approximately 50 locations worldwide. We help clients mitigate their risk exposure, whilst our industry-leading claims service provides them with additional peace of mind.Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. Swiss Re Corporate Solutions embraces a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability.If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience.

Keywords: Reference Code: 133926

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ID 1183799 Sectors:
in London, Greater London, England
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