Quantitative Developer, Trading And Client Controls (tacc)

Deutsche Bank UK

London, United Kingdom
Hybrid
Python/anaconda suite
Scikit-learn, pandas, numpy
Data integration, etl/elt
The TaCC team has a global remit, across all products, businesses and regions in the Investment and Corporate Bank, to develop bespoke anomaly detection models

Job Summary

  • The TaCC team has a global remit, across all products, businesses and regions in the Investment and Corporate Bank, to develop bespoke anomaly detection models.
  • You will be responsible for driving the development of our core models and controls to help identify fraud.
  • We are committed to providing an environment with your development and wellbeing at its centre.

Matching Summary

The TaCC team has a global remit, across all products, businesses and regions in the Investment and Corporate Bank, to develop bespoke anomaly detection models.

Skills & Requirements

Must-have

  • Python/Anaconda suite
  • Scikit-learn, Pandas, Numpy
  • data integration, ETL/ELT
  • model implementation
  • stakeholder management
  • quantitative development

Nice-to-have

  • financial markets understanding
  • risk management knowledge
  • collaboration and partnership
  • explaining complex concepts

Key Requirements

  • Bachelor's degree or equivalent
  • Relevant data science/model development experience
  • Demonstrated ETL/ELT experience
  • Excellent programming skills

Work Rights

Not specified

Tailored Resume

Cover Letter