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A global financial services company is seeking a talented professional to join their QIS Equity & Solutions team in Greater London. The role involves developing systematic equity investment strategies, conducting quantitative analyses, and preparing materials for clients. Candidates should have 3 to 5 years of experience in financial derivatives and strong skills in Python and Excel. This full-time position offers an exciting opportunity to work within a dynamic environment focused on innovation.
Excited to grow your career
BBVA is a global company with more than 160 years of history that operates in more than 25 countries where we serve more than 80 million customers. We are more than 121000 professionals working in multidisciplinary teams with profiles as diverse as financiers legal experts data scientists developers engineers and designers.
QIS is a fast-growing business part of the Investment Solutions unit within Global Markets focusing on the design manufacturing and distribution of rule-based multi-asset strategies. BBVA QIS offers clients a wide range of investment alternatives leveraging on BBVAs powerful data-driven skills and expertise.
Within the QIS business the QIS Equity & Solutions teams mandate is to grow the equity offering develop new trading solutions and execute innovative QIS transactions.
Work on the design and development of systematic equity investment strategies including factor-based risk premia long short and volatility managed solutions.
Conduct quantitative analysis and backtesting to validate strategy performance robustness and implementation constraints.
Respond to client requests providing analytics bespoke strategy proposals and product updates.
Prepare commercial materials including product presentations marketing decks and performance analytics for clients and internal stakeholders.
Monitor index performance exposures and risk metrics highlighting anomalies or recalibration needs.
Use programming and data tools e.g. Python to automate workflows and improve strategy development efficiency.
Stay informed on market trends and regulations affecting systematic strategies and structured products.
Talented professional with 3 to 5 years of experience in financial derivatives and good knowledge of equity markets.
Strong quantitative academic background.
Proficient in Python for data analysis and automation.
Advanced level of Excel.
Native or bilingual English
Other languages will be valued.
Highly motivated person able to work as a team player with good communication skills.
Attention to detail and problem-solving capabilities.
Full-Time