Quantitative Risk Manager

GOhiring

Greater London

1 month ago

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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 role
Solid understanding of the asset management industry, asset pricing, and risk models
Proficient in Excel, Python, and MySQL is a must
Client-focused, fast learning and problem-solving personality
Strong interest in the asset management industry
Strong analytical and communication skills
English is a must, other languages are a plus

Why us?

Opportunity to join a dynamic entrepreneurial team committed to a common mission and an open mind for new ideas and methodologies
Training and education initiatives to enhance personal and professional development
Possibility to work from home
Competitive compensation
Flexible working environment
Intensive onboarding training and mentoring
Team-building and off-site events
Clear communication throughout the company
iQuant Solutions is an equal opportunity employer

About 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.

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