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- Tasks: Support the Weather & Energy Markets team by developing IT infrastructure and collaborating on projects.
- Company: Swiss Re is a global leader in reinsurance and risk management, offering innovative solutions worldwide.
- Benefits: Enjoy a hybrid work model, inclusive culture, and opportunities for professional growth.
- Why this job: Join a dynamic team tackling climate risks while enhancing your analytical skills in a supportive environment.
- Qualifications: Master's degree in a quantitative field and 3 years of programming experience required.
- Other info: Open to diverse applicants, including those returning from career breaks.
The predicted salary is between 36000 - 60000 £ per year.
Location: London, GB
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
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.
Quantitative Developer/Analyst, Weather & Energy - Hybrid (80-100% working degree) employer: IIBA (International Institute of Business Analysis)
Contact Detail:
IIBA (International Institute of Business Analysis) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Developer/Analyst, Weather & Energy - Hybrid (80-100% working degree)
✨Tip Number 1
Familiarise yourself with the specific programming languages mentioned in the job description, such as Python, R, and C++. Consider working on personal projects or contributing to open-source projects to showcase your skills in these areas.
✨Tip Number 2
Gain a solid understanding of financial market products and the insurance/reinsurance industries. This knowledge will not only help you during interviews but also demonstrate your genuine interest in the role and the company.
✨Tip Number 3
Network with professionals in the Weather & Energy Markets sector. Attend industry events or join relevant online forums to connect with people who can provide insights into the role and potentially refer you to opportunities at Swiss Re.
✨Tip Number 4
Prepare for technical interviews by practising problem-solving questions related to data analysis and statistical methods. Being able to demonstrate your analytical skills will be crucial in impressing the hiring team.
We think you need these skills to ace Quantitative Developer/Analyst, Weather & Energy - Hybrid (80-100% working degree)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in quantitative sciences, programming languages like Python, R, or C++, and database development. Emphasise any projects that showcase your analytical problem-solving skills.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention specific experiences that align with the responsibilities outlined in the job description, such as developing IT infrastructure or working on derivative contracts.
Showcase Relevant Skills: Clearly list your technical skills, including object-oriented programming, SQL database experience, and familiarity with cloud environments. Highlight any knowledge of financial market products and statistical analysis to demonstrate your fit for the role.
Proofread and Edit: Before submitting your application, carefully proofread your documents for any spelling or grammatical errors. Ensure that your application is clear, concise, and free of jargon, making it easy for the hiring team to understand your qualifications.
How to prepare for a job interview at IIBA (International Institute of Business Analysis)
✨Showcase Your Technical Skills
Be prepared to discuss your experience with programming languages like Python, R, or C++. Highlight specific projects where you've used these skills, especially in relation to data analysis or financial market products.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your analytical problem-solving skills. Prepare examples of challenges you've faced in previous roles and how you approached them, particularly in quantitative analysis or IT infrastructure.
✨Understand the Industry
Familiarise yourself with the weather and energy commodity markets, as well as the insurance/reinsurance industries. Being able to discuss current trends or challenges in these areas will show your genuine interest and knowledge.
✨Emphasise Collaboration Skills
Since the role involves working with various internal stakeholders, be ready to talk about your experience in cross-functional teams. Share examples of how you've successfully collaborated with others to achieve project goals.
