If you are a data-driven leader with experience across financial datasets, coding, and data visualisation, and you're excited by the opportunity to blend strategic oversight with hands-on delivery. In that case, this is your chance to make a lasting impact in a company committed to active investment management.
As Quant Analytics Lead, you'll lead our research analytics function - managing a team, overseeing data integrity, and building the tools that enhance our investment insight.
You'll:
* Own and continually evolve our analytics and reporting capabilities to support the CIO and research teams.
* Lead the development of proprietary tools (e.g. X-Ray) and enhance our modelling capabilities using Python, R, SQL, NLP, and machine learning.
* Collaborate across data, infrastructure, and engineering teams to build scalable solutions.
* Guide the development of management reporting, investment KPIs, and external disclosures.
* Mentor a team of analysts, championing a culture of collaboration and continuous improvement.
* Proven experience in data analytics or quant roles within financial services, asset or wealth management.
* Strong grasp of data infrastructure, modelling, and financial datasets (e.g. Morningstar, Bloomberg, Datastream).
* Proficiency in Power BI, Alteryx, Snowflake, and advanced Excel is highly desirable, as is coding in Python, R, and SQL.
* Understanding of ESG, performance, risk, and liquidity data.
* Excellent communication skills, with the ability to present complex findings to senior stakeholders.
* A natural leader and collaborator who takes initiative and thrives in dynamic environments.
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