Datafloq

Data and Technology Insights

Data Scientist/Engineer

Location:  London, GB /

APPLYCompany: Nicoll Curtin
Skills required: Accuracy, Analysis, Analytics, Communication, Design, Machine Learning, Proficiency, Python, Security, Spark
Technologies required: AWS, Data processing, Python, Scalability
Date: December 02, 2024

Data Scientist/Data Engineer – Databricks/Data Factory/Azure/Python/Analytics – Inside IR35 – London – 700 Per Day DOE

Are you a top-tier Data Scientist with Front Office experience, ready to deliver impactful data solutions in a global investment banking environment? Do you have a proven track record of working with trading desks, particularly within Equities, Fixed Income, or Derivatives, and driving data-driven decision-making? Can you leverage state-of-the-art technologies like Azure Databricks, Spark, and Delta Lake to create scalable, Real Time analytics frameworks for the Front Office? If so, this opportunity is designed for you.

In this role, you will:

  • Transform Front Office Data Use: Collaborate directly with traders and quants to integrate and optimise market, trade, and risk data, enabling enhanced decision-making and strategy refinement.
  • Build Real Time Analytics Solutions: Design and implement low-latency, high-performance pipelines on Databricks to support trade execution, pricing models, and portfolio analysis.
  • Develop and Automate Data Processes: Establish robust data ingestion and transformation workflows tailored to high-volume Front Office datasets, ensuring accuracy, security, and scalability.
  • Enhance Trading Insights: Apply machine learning and advanced analytics to Equities and Derivatives data, delivering actionable insights on market trends, customer behaviour, and competitor strategies.

Required Experience:

  • Proven experience in Front Office environments, with a strong understanding of trading workflows and asset classes such as Equities, Fixed Income, FX, and Derivatives.
  • Expertise in leveraging Databricks for large-scale data processing, integration, and analysis in high-pressure settings.
  • Proficiency in Python, Spark, and Delta Lake, alongside cloud technologies like Azure or AWS.
  • Strong communication skills to interact effectively with traders, quants, and senior stakeholders.

This is a rare opportunity to be at the forefront of data transformation in the Front Office of a globally renowned investment bank. If you thrive in high-stakes environments and have the technical expertise to deliver data-driven innovations that influence trading strategies and drive profitability, we encourage you to apply.