Your mission
- Development and maintenance of the internal fund data management and risk system
- Understanding financial and regulatory risk models such as volatility, asset pricing, stress testing, etc.
- Deep understanding of financial instruments such as bonds, options, swaps (IRS & CDS), swaptions, etc.
- Able to develop and debug production-grade code in Python and MySQL
- Ability to work on complex client queries and has a problem-solving mindset
- Track and communicate issues to the Relationship Management Team
- Support with the creation of documentation, guidelines, and implementation of regulation changes
Your profile
Quantitative education and minimum 7 years of professional experience in a quant or risk roleSolid understanding of the asset management industry, asset pricing, and risk modelsProficient in Excel, Python, and MySQL is a mustClient-focused, fast learning and problem-solving personalityStrong interest in the asset management industryStrong analytical and communication skillsEnglish is a must, other languages are a plusWhy us?
Opportunity to join a dynamic entrepreneurial team committed to a common mission and an open mind for new ideas and methodologiesTraining and education initiatives to enhance personal and professional developmentPossibility to work from homeCompetitive compensationFlexible working environmentIntensive onboarding training and mentoringTeam-building and off-site eventsClear communication throughout the companyiQuant Solutions is an equal opportunity employerAbout us
iQuant Solutions is a London-based fintech company with staff located in London, Zurich, Frankfurt, and Budapest that provides data management, portfolio statistics, quant modeling, regulatory fund reporting solutions, and other analytics services to the asset management and financial services industry.
During the last decade, the data management and reporting requirements for asset managers have increased tremendously. Our mission is to help financial institutions regain control of their data, in terms of quality and availability, to better serve their clients and meet their reporting obligations. We believe that automation of fund data and reporting is the key to a modern, efficient, and long-term solution for those challenges.