Credit Risk Analyst

Swiss Re - Schweizerische Rückversicherungs-Gesellschaft; Zürich; Vor Ort; CHF 90’000 - 120’000; Vollzeit

Zusammenfassung

A leading company in reinsurance seeks an analyst to contribute to credit portfolio management through advanced data analytics. The role involves collaboration across teams and developing innovative solutions to enhance underwriting processes, with a strong focus on risk management and profitability.

Leistungen

Flexible working environment

Opportunities for professional development

Qualifikationen

• 5+ years of analytical experience with hands-on experience in Python.
• 3+ years of SQL experience, comfortable with complex queries.
• Experience in leading project delivery and mentoring junior colleagues.

Aufgaben

• Develop analytics solutions for the Credit and Surety line of business.
• Collaborate with stakeholders to define problem statements.
• Support data transformation and underwriting efficiency through innovative solutions.

Kenntnisse

Data analysis

Data visualization

Python

SQL

Ausbildung

University degree in Data Science, IT, Mathematics, Statistics, Econometrics or equivalent

Tools

PySpark

Palantir Foundry

Jobbeschreibung

You will not only contribute to the analysis of the credit and surety portfolio, from both risk and profitability perspectives, through the advanced analysis of internal and external data, but also work to make underwriting more efficient. You will collaborate with teams across Swiss Re to drive data-driven transformation and solve complex data challenges using cutting-edge technology, ensuring sustainable and profitable business outcomes.

This is a unique opportunity to apply your deep knowledge of data science and analytics to real portfolios, connect economic trends to market performance, and investigate patterns to ensure long-term profitability. You will also gain valuable exposure to credit portfolio management, bridging the gap between insurance and banking. In this role, you will work closely with colleagues from various departments, including underwriting, finance, operations, claims, risk management, and actuarial functions.

Key Responsibilities:

Working with stakeholders to understand the exact problem statement/business context, and helping convert these to well defined requirements.

Building of Analytics solutions for the Credit and Surety line of business, contributing to steering and monitoring the portfolio in line with strategic objectives.

Collaborate with cross-functional teams to develop innovative solutions that support data transformation, risk management, and underwriting efficiency.

About the Team

We are a friendly and collaborative team, who always puts the client first. We partner with portfolio owners to provide the framework of proper portfolio steering and insights to make us more profitable. We focus on data driven outcomes to find new ways to solve challenges through quantitative models and data transformation.

The Actuarial Portfolio Management Credit and Surety(APM C&S) team reports directly to the Global Head of Actuarial Portfolio Management Corporate Solutions.

About You

You have strong interpersonal skills and ability to maintain effective working relations in a multi-disciplinary and multi-cultural environment.

You are a self-starter and organized, able to handle multiple priorities and meet deadlines. Ability to manage diverse projects and tasks simultaneously.

You are able to apply quantitative skills, business knowledge, logical thinking and communicate the key message by visualization & presentation

• 5+ years of analytical experience with hands-on experience with PySpark and Python, particularly in building and optimizing large-scale data transformation pipelines.
• 3+ years of SQL experience, comfortable writing and optimizing complex queries.
• Extensive experience in data visualization and developing interactive dashboards for business stakeholders, with a focus on strategic insights.
• You have applied these skills using real business data to develop insights and practical solutions
• You have experience leading project delivery and working with junior colleagues
• Solid academic education (university degree or higher), ideally in Data Science, IT , Mathematics, statistics, econometrics or equivalent fields.
• Advanced English communication skills, both written and verbal.
• Proven ability to work independently, solve complex problems, and drive business impact through data-driven strategies.

Nice to haves

• Experience with Palantir Foundry or other big data platforms.
• Previous experience in credit quantitative models, credit portfolio management, risk management in banking or insurance is a plus.
• Experience working in an Agile environment, collaborating with cross-functional teams to deliver business outcomes.
• 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.

About Swiss Re

Swiss Re is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. We cover both Property & Casualty and Life & Health. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 14,000 employees across the world.

Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. We embrace 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:134570

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