Vice President – Data Science & AI/ML

About the Role

visionary and accomplished Vice President – Data Science & AI/ML

deep Fintech (proprietary trading)

AI Agents

strategic and operational role

Key Responsibilities

Leadership & Strategy

• Define and execute the firm’s strategic roadmap for Data Science, AI, and ML innovation, aligning with Fintech and MarTech priorities.
• Lead a cross-functional team of Data Scientists, ML Engineers, and Quantitative Researchers.
• Provide mentorship and hands-on technical support to the team, actively engaging in problem-solving and design discussions.
• Drive thought leadership in emerging areas such as

  Agentic AI frameworks

  ,

  RAG pipelines

  ,

  Generative AI

  , and

  predictive analytics

  for trading and marketing systems.

Technical Excellence

• Architect and supervise

  end-to-end machine learning and AI agent pipelines

  covering data acquisition, knowledge retrieval, feature engineering, model training, deployment, and continuous monitoring.
• Oversee the design, testing, and optimisation of

  quantitative trading models

  ,

  real-time forecasting systems

  , and

  AI-driven advertising intelligence frameworks

  .
• Ensure production-grade standards for

  accuracy, reliability, and performance

  within

  real-time environments

  .
• Evaluate and deploy

  AI Agent frameworks

  integrating

  reasoning, memory, and orchestration capabilities

  across distributed systems.

Client Engagement & Delivery

• Serve as the senior client partner for AI-led initiatives, ensuring

  exceptional delivery standards and measurable business outcomes

  .
• Translate complex analytical findings into

  strategic insights and actionable recommendations

  for executive stakeholders.
• Engage directly with

  Fintech, Prop Trading, and MarTech clients

  to tailor advanced AI solutions aligned with business objectives.
• Promote excellence in client communication, documentation, and executive reporting.

Innovation & Research

• Foster a culture of

  continuous experimentation and applied research

  , focusing on the intersection of

  Generative AI, multi-agent systems, and quantitative analytics

  .
• Lead internal R&D efforts around

  Agentic AI

  ,

  autonomous decision systems

  , and

  adaptive learning environments

  .
• Build partnerships with academia, AI research groups, and cloud providers to keep the organisation at the forefront of innovation.

Required Qualifications

Technical Competencies

• Expert-level proficiency in

  Python

  and leading ML/AI libraries (NumPy, pandas, scikit-learn, TensorFlow, PyTorch, XGBoost).
• Strong command of

  SQL

  and big data processing using

  AWS Redshift, GCP Big Query, or equivalent frameworks

  .
• Deep understanding of

  AI Agent architectures

  ,

  RAG pipelines

  ,

  LLM fine-tuning

  , and

  vector database integration

  .
• Proven experience with

  MLOps

  ,

  cloud computing (AWS, GCP, Azure)

  , and

  model governance

  .
• Hands-on expertise in

  deploying and operationalising AI/ML models

  in production—preferably within

  financial systems, trading infrastructure, or MarTech environments

  .

Experience Requirements

• 15+ years

  of progressive experience in data science, ML, or AI leadership.
• Proven experience in

  Fintech (Prop Trading)

  and/or

  MarTech (AdTech / Campaign Optimisation)

  projects.
• Demonstrated success in

  quantitative modelling

  ,

  algorithmic trading

  , or

  AI-driven marketing automation

  .
• Experience leading

  distributed, multi-disciplinary teams

  and managing

  multi-million-dollar analytics programmes

  .
• Strong ability to work in

  fast-paced, client-driven environments

  while maintaining delivery excellence.

Preferred Domain Expertise

• Fintech (Prop Trading) / MarTech (Advertising Technology)
• Quantitative strategy formulation, model backtesting, and simulation
• AI Agents, RAG, and autonomous orchestration systems
• Predictive modelling for trading, liquidity, and marketing conversion analytics
• Deep learning and reinforcement learning for optimisation
• Risk analytics and financial performance attribution using ML techniques

Soft Skills & Leadership Competencies

• Strong

  verbal and written communication skills

  suitable for both technical and executive discussions.
• Strategic thinking with a strong business acumen and quantitative mindset.
• Exceptional leadership, mentoring, and interpersonal capabilities.
• Demonstrated ability to

  lead innovation and resolve challenges

  under pressure.
• Commitment to

  ethical AI

  ,

  data governance

  , and

  regulatory compliance

  .

Work Location & Engagement Terms

• Preferred Location:

  Kolkata (Hybrid mode available).
• Monthly visits to Kolkata HQ required for 7 -10 days .
• We are looking & giving preference to Candidates with a

  maximum notice period of 15 days

  .

Why Join Us

• Lead one of the most innovative AI and Data Science divisions in the Fintech and MarTech sectors.
• Collaborate with global trading, analytics, and advertising intelligence clients.
• Shape the next generation of

  AI-powered financial and marketing ecosystems

  .
• Work in a culture that values

  innovation, autonomy, and measurable impact

  .