Job Description

Lead transformative R&D to drive aggressive growth in Fintech and adjacent domains, leveraging deep tech (AI/ML, IoT, Embedded Systems, Cybersecurity) to build world-class, secure identity and payment solutions.
Establish clear expectations, hold team members accountable and incentivize proactive issue resolution to deliver world class innovative solutions.
Security & Identity Management:
Ensure cutting-edge research in decentralized ID (DID), blockchain identity systems, MFA (Multi-Factor Authentication), and cybersecurity innovations.
Strategic Leadership & Impact Areas:
Identity & Security Leadership: Pioneer decentralized ID (DID), blockchain identity, MFA, and cybersecurity R&D.
AI/ML & Deep Tech Innovation: Spearhead development of biometrics (face/Finger/iris/voice), fraud detection, predictive analytics, and IoT/wearables integration.
Product & IP Generation: Translate research into prototypes/PoC's/MVPs and secure patents for novel algorithms/designs.
Tech Roadmap & Transformation: Define and execute R&D strategy aligned with fintech regulations and market demands.
Integration Architecture:
Ensure seamless integration of AI, IoT data, cloud platforms, and identity solutions into existing fintech ecosystems.
Technical Leadership
Team Building & Mentoring:
Building high-performing R&D teams, stakeholder management, strategic thinking.
Operational Responsibilities
Team Building: Foster a culture of creativity, accountability, and research excellence.
Resource Management: Optimize R&D budget allocation and track project ROI.
Cross-Functional Collaboration: Bridge R&D with Product, Engineering, Data Science, and Regulatory teams.
Ecosystem Engagement: Manage vendors, academic partners, and startups for joint innovation.
Compliance and Risk Management
Risk Assessment in New Technologies:
Evaluate technological risks (e.g., data privacy, ethical AI usage, IoT vulnerabilities) and put mitigation plans in place during the research phase.
Key Differentiators for Candidates:
Proven Impact: Demonstrate how your R&D leadership directly drove product innovation/growth in Fintech.
IP Portfolio: Highlight filed/granted patents relevant to AI, identity, or embedded systems.
Thought Leadership: Showcase conference presentations, whitepapers, or standards body participation.
Technical Agility: Ability to connect deep tech (Embedded, AI, IoT, Security) into cohesive solutions.
Growth Mindset: Passion for building teams and scaling innovation in a high-growth environment.
Internal Evangelism: Promote a culture of innovation, learning, and agility inside the organization, regularly conducting workshops, hackathons, and ideation programs.
Stakeholder & Vendor Management
Collaborate with clients, internal teams, academia and third-party vendors.
Evaluate and manage outsourcing partners and technology providers.
Ideal Candidate Profile:
Bachelor's/master's degree in engineering (Electronics, Computer Science, or related field)
PhD-calibre leader with 15+ years' experience, blending Fintech domain expertise, hands-on AI/Embedded/IoT skills, you excel at translating market needs into IP-protected innovations while managing complex stakeholder and vendor relationships.
Product Development, and Project Management with proven Fintech expertise.
Jira, Git, MPP or debugging tools expertise
Technical Mastery: Embedded systems, software architecture, product lifecycle management.
Domain Knowledge: Payment systems, digital wallets, banking APIs, embedded hardware.
Leadership: Building high-performing R&D teams, stakeholder management, strategic thinking.
Desirable Traits:
AI/ML Depth: Hands-on experience in identity/fraud-focused AI model development.
Cybersecurity & Identity: Mastery of secure identity frameworks (DID, MFA) and fintech security principles.
IoT Ecosystem: Hardware/software integration for wearables/smart devices.
Cloud & Data: Cloud-native architecture and big data analytics implementation.
IP & Compliance: Proven patent filing experience and regulatory awareness (finance/data).
Agile R&D: Project management in fast-paced, iterative research environments.
A technically deep, Passion for mentoring and evangelizing innovation is essential.

Skills Required