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AVP – Research and Technology Innovation

AVP – Research and Technology Innovation

Antal Internationalbangalore, India
10 hours ago
Job description

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 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.

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