Position Overview:
We are seeking a highly skilled Consultant with expertise in Flask application development and fraud detection systems. The Consultant will lead the enhancement and optimization of our Flask-based application, ensuring its robustness, security, and scalability. Additionally, the Consultant will review and improve fraud detection systems and processes to ensure seamless integration with the platform. This role will involve detailed code reviews, iterative development, and providing strategic recommendations for improving both the application and fraud detection models.
Flask Application Development
Conduct a thorough audit of the current Flask-based application architecture and codebase.
Ensure the Flask platform’s robustness, security, scalability, and performance.
Perform detailed code reviews, identify inefficiencies, and provide recommendations for optimization.
Implement best practices for Flask development, ensuring the platform is maintainable, efficient, and secure.
Collaborate with internal teams to iterate and update the application based on feedback and business needs.
Manage and optimize infrastructure for the Flask application to support real-time data processing and monitoring.
Conduct workshops and training sessions to improve internal team expertise in Flask development and secure coding practices.
Fraud Detection Systems and Processes
Review and audit existing fraud detection systems, tools, and processes to identify weaknesses and opportunities for improvement.
Design and guide the data science team in advanced fraud detection algorithms using machine learning and data mining techniques.
Advice on fraud detection systems to effectively monitor transactions, identify suspicious activities, and prevent fraudulent behavior.
Collaborate with internal stakeholders to align fraud detection strategies with business goals and regulatory requirements.
Key Responsibilities:
Lead the optimization and iteration of the Flask-based application, focusing on code quality, performance, and security.
Perform code reviews, refactor code where necessary, and implement new features or enhancements to improve platform functionality.
Collaborate with teams to develop and deploy updates to the application and ensure seamless integration with fraud detection systems.
Provide recommendations on fraud detection improvements, focusing on predictive modeling, real-time monitoring, and prevention systems.
Train and support internal teams on best practices in Flask development and fraud detection methodologies.
Offer strategic advisory to senior management on enhancing both the application and fraud detection processes.
Qualifications:
Bachelor’s or Master’s degree in Computer Science, Data Science, Software Engineering, or a related field.
At least 3 – 5 years of experience in Flask application development, with a strong focus on scalability, security, and performance.
Experience in fraud detection systems, machine learning algorithms, and data analysis, preferably within financial services or e-commerce.
Proven expertise in conducting code reviews, debugging, and refactoring code for optimized application performance.
In-depth understanding of Flask infrastructure management and deployment strategies for real-time data processing.
Knowledge of fraud trends and regulatory standards within the financial services sector.
Strong communication and collaboration skills, with experience working cross-functionally to deliver results.
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Please send your CVs and cover letter to jobs@pezesha.com. Kindly indicate the title of the job on the subject header of the email
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jobs@pezesha.com
