PM with Digital Banking Operations and AI

Marylebone High Street
1 month ago
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Project Manager with Digital Banking Operations and Artificial Intelligence AI

We are seeking a Project Manager with Digital Banking Operations and Artificial Intelligence (AI) Projects experience to join our Client a bank based in Central London.

As an AI project manager, you be responsible for overseeing and managing the implementation of AI projects within our digital banking operations.

Experience and Qualifications

  • Previous experience in project management, preferably within the banking or financial services industry

  • Strong understanding of digital banking operations and Artificial Intelligence AI technologies

  • Proven track record of successfully delivering complex projects on time and within budget

  • Project management certification (e.g., PMP) is a plus

  • Bachelor's degree in a relevant field

    Areas to Consider

  1. Customer Service Enhancement

  • Chatbots and Virtual Assistants: Deploy AI-driven chatbots to handle routine inquiries, provide 24/7 support, and reduce wait times.

  • Sentiment Analysis: Use AI to analyze customer feedback and sentiment from various channels to improve services.

  1. Fraud Detection and Prevention

  • Real-Time Monitoring: Implement AI algorithms to detect and flag unusual transactions in real-time.

  • Predictive Analytics: Use machine learning models to predict potential fraud based on historical data and behavioural patterns.

  1. Loan Processing Automation

  • Credit Scoring: AI can evaluate creditworthiness more accurately by analyzing a wider range of data points.

  • Document Verification: Automate the verification of documents submitted for loan applications, speeding up the approval process.

  1. Personalized Banking Services

  • Customer Insights: Leverage AI to gain insights into customer behaviour and preferences, allowing for personalized product recommendations.

  • Marketing Campaigns: Use AI to target customers with tailored marketing campaigns based on their transaction history and preferences.

  1. Risk Management

  • Risk Assessment: AI can analyze market trends and economic indicators to provide early warnings about potential risks.

  • Compliance Monitoring: Automate compliance checks and monitoring to ensure adherence to regulations and reduce the risk of non-compliance penalties.

  1. Operational Efficiency

  • Process Automation: Use robotic process automation (RPA) to handle repetitive tasks such as data entry, account reconciliation, and report generation.

  • Workflow Optimization: AI can optimize workflows by identifying bottlenecks and suggesting improvements.

    Implementation Strategy

  1. Assessment: Evaluate the current state of digital banking operations and identify areas where AI can add value.

  2. Pilot Projects: Start with pilot projects to test AI applications in a controlled environment.

  3. Scalability: Ensure that AI solutions are scalable and can handle increasing volumes of data and transactions.

  4. Employee Training: Train staff on AI tools and their applications to ensure seamless integration.

  5. Continuous Improvement: Regularly update AI models and algorithms based on new data and evolving business needs.

    Challenges and Considerations

  • Data Quality: Ensure high-quality data for accurate AI predictions and analysis.

  • Regulatory Compliance: Stay compliant with financial regulations while implementing AI solutions.

  • Customer Trust: Maintain transparency in AI-driven decisions to build and maintain customer trust.

  • Integration: Seamlessly integrate AI with existing banking systems and processes.

    The main emphasis of this position to is harness the data from a variety of data tables at the bank and collate a Data Lake from which to extract a variety of AI reports to increase the banks customer strategy.

    By strategically implementing AI in these areas, a Digital Banking Operations Manager can greatly improve the efficiency, security, and customer satisfaction in digital banking operations.

    The position will be hybrid 3 days a week in the office.

    The salary is negotiable depending on experience but probably in the range £80K - £120K plus benefits.

    Do send your CV to us in Word format along with your salary and notice period

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