Summary: The Head of Data Science & Engineering role in Investment Banking focuses on leading data initiatives within the Front Office of a global financial institution. The position requires defining data strategies, engaging with senior traders and quants, and delivering innovative data solutions that enhance trading and risk decisions. The role emphasizes the integration of AI and machine learning to optimize trading processes and requires strong leadership in mentoring data teams. This is a unique opportunity to drive transformative data strategies in a high-stakes environment.

Key Responsibilities:

• Define the data vision for the Front Office, enhancing trading, pricing, and risk workflows.
• Build scalable, Real Time analytics platforms using Databricks, Azure, Spark, and Delta Lake.
• Collaborate with senior traders and quants to deliver data-driven insights and strategies.
• Apply AI and machine learning to optimise trading and provide predictive analytics.
• Mentor and lead data engineers and scientists, fostering technical excellence.
• Ensure robust data quality, governance, and compliance in high-stakes environments.

Key Skills:

• Extensive experience in investment banking with deep knowledge of trading workflows.
• Proficient in Databricks, Azure Data Factory, Python, Spark, and Delta Lake.
• Strong track record of engaging senior stakeholders and delivering impactful solutions.
• Expertise in AI, machine learning, and Real Time data processing.

Salary (Rate): undetermined

City: London

Country: UK

Working Arrangements: undetermined

IR35 Status: inside IR35

Seniority Level: undetermined

Industry: IT