Credit Portfolio Manager

About the Role : You will not only contribute to the analysis of the credit portfolio, both from risk and profitability views through the analysis of internal and external data, but also contribute to make underwriting more efficient. You will collaborate with teams from different areas of Swiss Re to shape the data-driven transformation and solve hard data problems using cutting-edge technology to ensure sustainable and profitable business. This is a unique opportunity to implement your knowledge of data analysis with a real portfolio, relate economic developments to the market performance and investigate trends to ensure a sustainable profitability. It is also an exceptional opportunity to acquire knowledge into credit portfolio management, linking insurance and banking. In this role, you will work with colleagues in diverse functions including underwriting, finance, operations, claims, actuarial and risk management. In addition to the day-to-day tasks, you will contribute to activities linked to the elaboration and implementation of the strategy of the Credit & Surety unit. You will be responsible for all the monitoring activities of a variety of Global Credit and Surety portfolios, in locations like US, Colombia, Brazil, Germany, Singapore or Australia. About You: Convincing interpersonal skills and ability to maintain effective working relations in a multi-disciplinary and multi-cultural environment Self-starter organized and able to handle multiple priorities and meet deadlines. Ability to manage diverse projects and tasks simultaneously. Able to apply quantitative skills, business knowledge, logical thinking and communicate the key message by visualization & presentation Actuarial or portfolio management experience (5+ years) in credit or other P&C lines. Previous experience in credit portfolio management, risk reporting and risk management in banking or insurance is a plus Good knowledge and understanding of credit aggregation, global macroeconomics, financial markets and credit-related products; experience in the Trade Finance and Surety sectors a plus Solid academic education (university degree or higher), ideally in financial economics, econometrics, financial engineering, or actuarial sciences. Engineers are welcome only with financial knowledge background. Well-developed IT skills – Microsoft Office and some programming language (python/ SQL or pyspark) Solid quantitative and qualitative analytical skills, pragmatism and firm judgment Fluency in English is a must Educational level Masters in quantitative subject area like and not limited to statistics, economics, finance, mathematics Progression towards relevant professional financial exams (CFA, FRM, CQF) is a plus. 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: