Richfox Capital is a Swiss asset manager focusing on alternative investments. We manage several investment funds and family offices with portfolios across asset classes and have been enjoying rapid growth in all relevant metrics. Our three guiding principles are absolute loyalty to our values, intellectual curiosity, and a continuous drive for excellence in everything we do for our clients.
Tasks
We are looking for a risk manager with a strong technical background, up to three years of work experience in the domain, and a passion for risk management as a whole. Rather than focusing on a single area of risk (e.g., market risk) through a single lens (e.g., model development), your job will be to help us build and improve a wide range of risk-related processes end-to-end and to take ownership of some of them.
The ideal candidate is organized, analytical, and quick to learn, with an appetite for working in a fast-moving, technology-forward firm. They have a solid background and interest in modeling and programming, allowing them to perform various types of analyses independently as well as to participate in their automation when appropriate.
At the same time, they recognize the importance of knowing and understanding relevant regulations and appreciate that the best way to manage certain types of risk is not always quantitative in nature.
Responsibilities
Day-to-day product risk management, including monitoring risks in our funds and individual mandates, conducting stress tests and ad hoc risk analyses, and executing pre- and post-trade checks.
Contributing to the development and enhancement of automated risk analyses.
Developing and implementing statistical models for the quantification of various types of risk.
Designing and implementing stress testing methodologies for a wide range of portfolios (e.g., multi-asset portfolios or pure equity portfolios).
Assessing the risks of a wide range of investments, including digital assets, hedge funds, and private markets funds.
Designing and documenting internal processes for the management of operational risks, whether independently or in collaboration with IT and Compliance.
Identifying and integrating third-party solutions to support the firm’s risk processes.
Requirements
Master’s degree in (quantitative) finance, applied mathematics, or a related field with a technical focus.
1-3 years of work experience (including internships) in finance, ideally with exposure to risk management.
Highly organized and structured working style.
Experience with and interest in statistical modeling in finance and risk management.
Strong interest in technology and the ability to use it effectively.
Proficiency in at least one programming language (preferably Python).
Excellent written and verbal communication skills in English.
Good knowledge of and prior experience with Git and GitLab are a strong plus.
Prior experience working with real-world data from various sources (flat files, databases, etc.) is a strong plus.
Prior experience with Linux is a strong plus.
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