Role Overview
We are looking for an innovative Architect to design advanced data and artificial-intelligence capabilities supporting financial decision-making, risk intelligence, fraud detection, customer analytics, and operational optimization.

This position is suited to a professional who understands how modern financial platforms can combine large-scale data infrastructure, machine learning, real-time analytics, and intelligent automation to create more resilient and data-driven financial services.

Key Responsibilities

• Design enterprise-level data architectures for fintech and financial-services environments.
• Develop scalable frameworks for collecting, processing, governing, and analyzing high-volume financial datasets.
• Architect real-time analytical solutions for fraud detection, transaction monitoring, credit intelligence, customer behavior, and operational risk.
• Define data models and analytical pipelines supporting AI and machine-learning applications.
• Collaborate with data scientists and engineering teams to operationalize predictive models.
• Establish principles for data quality, lineage, governance, accessibility, and security.
• Evaluate cloud-based technologies and modern data platforms for fintech applications.
• Design systems capable of integrating transactional, behavioral, financial, and external data sources.
• Support the development of intelligent decision engines for financial products and operational processes.
• Assess architecture performance, scalability, reliability, and cost efficiency.
• Translate business requirements into robust technical architectures and implementation roadmaps.

Candidate Profile
You will be a technically sophisticated professional capable of operating between enterprise architecture, data engineering, artificial intelligence, and financial services. You should possess strong systems thinking and understand how data architecture influences business outcomes.

Qualifications & Experience

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Information Technology, Mathematics, or a related field.
• 6+ years of experience in data architecture, fintech technology, financial analytics, or enterprise systems.
• Strong understanding of cloud infrastructure, APIs, databases, data platforms, and distributed systems.
• Experience with AI/ML architectures and analytical ecosystems.
• Knowledge of financial data, transaction processing, fraud analytics, or risk systems is highly desirable.
• Strong documentation, problem-solving, and technical communication skills.

What You Will Bring
Architectural depth, analytical thinking, technical leadership, and the ability to design intelligent data ecosystems capable of supporting sophisticated financial products at scale.

Are you interested in this position?

Apply by clicking on the “Apply Now” Button below!

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