ZEAL CREATIVE GROUP  Salary

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70 MARKET STREET TOTTINGTON BURY BL8 3LJ UNITED KINGDOM
TIN: 10685927
 Finance and Insurance
Rating of the company

ZEAL CREATIVE GROUP
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Earnings on positions in ZEAL CREATIVE GROUP

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Estimated salary

£ 4283

Median salary at ZEAL CREATIVE GROUP

£ 2583 Lowest salary
£ 4676 The average salary
£ 7558 Highest salary

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ZEAL CREATIVE GROUP is looking for employees for positions:

data scientist

  • data scientist
  • head of finance
  • financial accountant
  • financial controller

Working hours

  • full-time

Responsibility

  • utilize machine learning techniques, anomaly detection, and predictive modelling to identify patterns and anomalies indicative of fraudulent activities
  • analyse client data and behaviour to identify patterns, trends, and potential risks
  • utilize statistical analysis and data mining techniques to perform client segmentation, profiling, and risk scoring
  • collaborate with cross-functional teams to identify and implement effective fraud prevention strategies
  • develop visualizations and reports to effectively communicate insights and findings related to fraud detection and client analysis
  • develop and implement advanced analytical models and algorithms to detect and prevent fraudulent activities, including trading fraud, account takeovers, identity theft, and other fraudulent behaviours
  • present complex concepts and technical findings to both technical and non-technical stakeholders in a clear and concise manner
  • stay updated with the latest advancements in trading fraud detection techniques, machine learning algorithms, and data analysis methodologies

Requirements

  • experience with data visualization tools is desirable
  • strong analytical and problem-solving skills with the ability to translate complex business challenges into data-driven solutions
  • attention to detail and ability to identify patterns and anomalies in large datasets
  • excellent communication and presentation skills to effectively convey complex concepts to both technical and non-technical stakeholders
  • bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. A focus on fraud detection, cybersecurity, or risk management is a plus
  • significant experience working as a Data Scientist or in a similar role, preferably in the domain of trading anti-fraud or risk management
  • proficiency in programming languages such as Python or R, with experience in relevant libraries and frameworks . Strong knowledge of statistical modelling, machine learning, and data mining techniques