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Credit Risk Manager

TF Bank
London
8 months ago
Applications closed

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Senior Data Scientist

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Senior Machine Learning Engineer (Credit Risk)

Collections Data Scientist

Machine Learning & AI Engineer

Machine Learning & AI Engineer

As aCredit Risk Manageryou will develop datadriven strategies analyse trends and optimize credit policies for credit cards. Collaborating with teams across Europe youll provide insights to drive business growth and foster innovation in credit risk management.


Key responsibilities:

  • Be a handson expert in credit risk area.
  • Collect and analyze data from various sources including internal systems Credit Bureaus to identify trends patterns and opportunities.
  • Analyse and make recommendations that help the development of credit policy scorecards and limit management strategies for credit cards.
  • Provide actionable insights and recommendations to stakeholders based on data analysis helping them make informed decisions and drive business growth.
  • Foster a culture of datadriven decision making within the organization promoting the use of analytics to drive continuous improvement and innovation.
  • Collaborate with other analytical teams across the European organization.


Qualifications and previous experience:

  • Master degree in a relevant field such as Mathematics Statistics Economics Quantitative Methods Computer Science or Engineering.
  • Minimum of 5 years of experience in analytics or a data science field.
  • Practical knowledge of the British credit card market and Credit Bureaus.
  • Experience in consumer finance credit risk area in banks or fintechs.
  • Deep understanding of credit card products including risk and profitability drivers.
  • Excellent analytical and problemsolving skills with a strong attention to detail. Algorithmic and creative approach to solving problems.
  • Proven track record of delivering impactful insights and recommendations based on data analysis.


Skills:

  • Proficiency in data modelling methodologies and statistical analysis techniques.
  • Excellent knowledge of SQL for data extraction and manipulation.
  • Experience in predictive modelling using logistic regression is required.
  • Knowledge of programming languages such as Python or R will be a plus.
  • Fluent English to be able to collaborate with colleagues from other countries.
  • Good communication and presentation skills with the ability to translate complex data into clear and actionable insights.
  • Ability to work effectively in a fastpaced dynamic environment managing multiple priorities and meeting deadlines.


Location:London


Key Skills
Arm,Risk Management,Financial Services,Cybersecurity,COSO,PCI,Root cause Analysis,COBIT,NIST Standards,SOX,Information Security,RMF
Employment Type :Full Time
Experience:years
Vacancy:1

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