Position : AVP – Research and Technology Innovation
As the AVP your responsibilities & mission will include but are not limited to :
- Lead transformative R&D to drive aggressive growth (50%+ CAGR) 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 expertiseTechnical 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.