Internship 2022, Risk Methodology

Switzerland - Zürich

Quantitative Analysis, Risk

Group Functions

**Job Reference #**

241613BR

**City**

Zürich

**Type**

Intern Analyst (Pipeline)

**Your role**

Are you an interested in quantitative modelling? Are you an innovative thinker who likes to challenge the status quo? Are you an engaged and motivated personality who likes to understand the big picture? Do you enjoy working in a highly specialized team to develop and deliver solutions? We are looking for an intern to strengthen our team and:

- Contribute to development of firm-wide statistical risk models for various risk types
- Support experienced quantitative risk analysts in model testing, code review and impact analysis
- Prepare presentations to senior management and regulators
- Perform and document ongoing model performance monitoring
**Internship**

Our 6 month internship is an ideal way to gain the work experience you’ll need to launch your career. It’s also an opportunity to work with and learn from some of our sharp people in finance.

From the start of the program, you’ll be right at the heart of the business, taking part in the day-to-day operations. You’ll not only learn about the business of finance from top to bottom, you’ll also experience our unique workplace culture.

To learn more about our Internship Programs, click here.

**Your team**

You’ll be working in the Statistical Risk Aggregation Methodology team in Zurich. We develop, refine, implement, and maintain mathematical and statistical models to measure all material risks across UBS to assess our capital requirements, comprising models for individual risk types (including market, credit, issuer, investment, funding, operational, pension, business risk etc.), as well as methodologies to aggregate risks. For the development of our methodologies, we use techniques from quantitative risk management, financial mathematics and econometrics. Models are implemented mainly in R, before being embedded into the productive risk infrastructure.
Diversity helps us grow, together. That’s why we are committed to fostering and advancing diversity, equity, and inclusion. It strengthens our business and brings value to our clients.

**Your expertise**

You need have completed at least four semesters of your bachelor’s degree or have obtained your master's degree preferably in a quantitative discipline within the last 6 months.

In particular, you have:

- excellent writing skills in English
- an interest in financial markets, numbers, models and products
- sharp analytical and problem solving skills
- an autonomous, diligent and detail-oriented work style
- a gift for using numerical analysis, statistics and financial mathematics to solve practical problems
- experience with high-level programming language and statistical modeling software know-how (like R, Python)

Start date: February or upon agreement

**About us**

UBS is the world’s largest and only truly global wealth manager. We operate through four business divisions: Global Wealth Management, Personal & Corporate Banking, Asset Management and the Investment Bank. Our global reach and the breadth of our expertise set us apart from our competitors.

With more than 70,000 employees, we have a presence in all major financial centers in more than 50 countries. Do you want to be one of us?

**Join us**

At UBS, we embrace flexible ways of working when the role permits. We offer different working arrangements like part-time, job-sharing and hybrid (office and home) working. Our purpose-led culture and global infrastructure help us connect, collaborate, and work together in agile ways to meet all our business needs.

From gaining new experiences in different roles to acquiring fresh knowledge and skills, we know that great work is never done alone. We know that it's our people, with their unique backgrounds, skills, experience levels and interests, who drive our ongoing success. Together we’re more than ourselves. Ready to be part of #teamUBS and make an impact?

**Disclaimer / Policy Statements**

UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.