Easy Apply
Easy Apply
Similar Jobs
Consumer Web • eCommerce • Food • Kids + Family • Design • Manufacturing
The Category Manager will expand Munchkin's range in EMEA through category management practices, performance analysis, and stakeholder engagement.
Top Skills:
DunnhumbyExcelGfkIriJungle ScoutKantarNielsenPowerPoint
Blockchain • Fintech • Payments • Financial Services • Cryptocurrency • Web3
The Senior Marketing Operations Manager will oversee marketing automation, lead management, and segmentation while optimizing revenue systems and ensuring data integrity.
Top Skills:
ClayCodexHubspotN8NSalesforce
Information Technology • Software • Financial Services • Big Data Analytics
Develop and improve quantitative models for investment strategies, conduct statistical analysis, and implement trading models. Requires strong analytical skills and relevant degree.
Top Skills:
C++PythonR
Firm Overview
We are a global quantitative multi-strategy asset management firm, with a global investment focus and team.
Key Responsibilities
- Automate and maintain quantitative risk and performance reporting for investors and internal stakeholders.
- Develop dashboards and visualisations using Power BI or similar tools to streamline reporting processes.
- Interact with databases to extract, process, and analyse financial data for ad-hoc investor requests and internal analytics.
- Utilise Python for data analysis, automation, and integration with reporting tools.
- Manage the firm’s datarooms, ensuring investor reports and materials are stored, updated, and sent out on schedule.
- Collaborate with investor relations, risk, and portfolio management teams to enhance reporting structures and communication of complex information.
- Ensure data integrity and accuracy in all reports and analyses.
Qualifications & Experience
- Minimum of 3 years of experience in a data-driven role within finance, ideally in hedge funds, asset management, or a similar quantitative environment.
- Strong experience in automating investor and internal reporting.
- Proficiency in Power BI or other data visualisation tools.
- Advanced skills in Python for data analysis and automation.
- Strong ability to query and interact with databases (SQL or similar).
- Excellent attention to detail and ability to ensure data accuracy in reporting.
- Strong communication skills, with an ability to present complex financial data in a clear, investor-friendly manner.
- Experience working with quantitative strategies such as market-neutral equities, futures, and options is a plus.
Why Join Us?
- Opportunity to work in a dynamic, high-growth multi-strategy hedge fund with a global focus.
- Exposure to cutting-edge quantitative strategies and sophisticated risk/performance analytics.
- Strong potential for career growth into broader roles.
- Collaborative and intellectually stimulating environment with opportunities to learn from senior professionals.
If you have a passion for automating reporting, strong technical skills, and a keen interest in quantitative finance, we encourage you to apply.
What you need to know about the London Tech Scene
London isn't just a hub for established businesses; it's also a nursery for innovation. Boasting one of the most recognized fintech ecosystems in Europe, attracting billions in investments each year, London's success has made it a go-to destination for startups looking to make their mark. Top U.K. companies like Hoptin, Moneybox and Marshmallow have already made the city their base — yet fintech is just the beginning. From healthtech to renewable energy to cybersecurity and beyond, the city's startups are breaking new ground across a range of industries.
