WHAT YOU’LL BE DOING:

• Architect a scalable and secure financial data processing system aligned with corporate objectives and compliance requirements.
• Independently design and develop a minimum viable product (MVP) for a scalable and secure financial data processing system using Python.
• Develop advanced automation solutions for the seamless integration of transactional data from multiple internal platforms and external sources.
• Oversee the standardization and normalization of complex and frequently changing transactional data formats from a variety of global sources.
• Ensure data integrity, accuracy, and consistency.
• Monitor system performance rigorously, implementing proactive measures to guarantee uptime and reliability.
• Establish and maintain disaster recovery protocols and failover mechanisms to protect against data loss and service interruptions.
• Lead initiatives for system optimization, scaling, and the integration of new technologies.
• Evaluate and implement industry best practices to enhance system efficiency and effectiveness.
• Design and implement system features that facilitate the financial department's ability to perform reporting, audit and data reconciliation effectively.
• Provide robust data outputs and interfaces that support reporting, audit and reconciliation activities, including reporting tools, dashboards, and data validation mechanisms.
• Work closely with the financial department to understand their needs and translate them into technical solutions within the system.
• Ensure that the system's functionalities align with the department's workflows and enhance their efficiency.
• Ensure all data handling and processing activities comply with relevant financial regulations and internal policies.
• Stay abreast of regulatory changes that may impact data processing and reporting.
• Maintain detailed documentation of system architectures, processes, configurations, and changes.
• Document features and functionalities that support the financial department's reconciliation processes.

WHAT WE LOOK FOR IN YOU:

• Bachelor’s or Master’s degree in Computer Science, Information Systems, Finance, Engineering, or a related discipline.
• Minimum of 7-10 years of experience in data engineering, system architecture, or a similar role within the financial services industry.
• Proven track record in building and maintaining large-scale, mission-critical data systems.
• Experience in developing systems that support financial data reconciliation processes.
• Expertise in Python.
• Expertise in automation and scripting for ETL processes and system maintenance.
• Database and Data Processing:
• Deep understanding of SQL.
• Proficiency in data modelling, warehousing, and handling large volumes of diverse transactional data.
• Experience with data ingestion from varied sources including APIs, file transfers, and messaging systems.
• Knowledge of developing user interfaces and/or APIs that facilitate data access and manipulation by other departments.
• Experience with AWS.
• Familiarity with DevOps practices, continuous integration, and deployment tools.
• Ability to align technical solutions with business objectives and regulatory requirements.
• Proactive in identifying opportunities for system improvements and risk mitigation.
• Exceptional leadership skills with experience managing technical teams.
• Excellent communication skills, capable of articulating complex concepts clearly and concisely.
• Strong analytical mindset with meticulous attention to detail.
• Proven ability to troubleshoot complex systems and resolve issues efficiently.
• In-depth understanding of financial markets, trading systems, and transaction processing.
• Familiarity with compliance standards and regulatory frameworks affecting financial data processing.

WHY SHOULD YOU JOIN OUR TEAM?

• A welcoming international team of highly qualified professionals
• Remote work from anywhere in the world
• Company supports your professional growth
• Flexible schedule
• 40 paid days off
• Competitive salary