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Data Scientist- Credit Risk & Collections

Harnham - Data & Analytics Recruitment
Posted 2 days ago, valid for a month
Location

Maidstone, Kent ME17 2BE, England

Salary

£40,000 - £70,000 per annum

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Contract type

Full Time

Sonic Summary

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  • Salary: Up to £70,000
  • Experience Required: Proven experience in credit risk modeling, collections analysis, or related areas.
  • Location: Kent
  • Year of Experience Required: Not specified
  • Strong proficiency in programming languages such as Python, R, or SQL.

DATA SCIENTIST- CREDIT RISK AND COLLECTIONS

KENT

UP TO £70,000

Join a leading financial services at the forefront of financial innovation, leveraging data and technology to drive smarter decisions and better outcomes for clients. The team is composed of industry-leading professionals who are passionate about harnessing data to create cutting-edge financial solutions. We are now seeking a talented Credit Risk and Collections Data Scientist to join our dynamic team and help us continue to deliver exceptional results.

THE ROLE

  • Develop, validate, and deploy predictive models for credit risk assessment and collections optimization.
  • Analyze large datasets to identify trends, patterns, and insights related to credit risk and collections.
  • Collaborate with data engineering teams to ensure data quality and accessibility.
  • Design and implement machine learning algorithms to improve risk prediction and collections efficiency.
  • Create dashboards and reports to communicate findings and recommendations to stakeholders.
  • Monitor model performance and conduct regular reviews to ensure accuracy and relevance.
  • Stay up-to-date with industry trends and advancements in data science, credit risk, and collections.

REQUIREMENTS

  • Proven experience in credit risk modeling, collections analysis, or related areas.
  • Strong proficiency in programming languages such as Python, R, or SQL.
  • Expertise in machine learning techniques and statistical modeling.
  • Experience with data visualization tools such as Tableau, Power BI, or similar.
  • Knowledge of financial services industry and regulatory environment.

Please apply below!

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