Vice President - Research & Data Science

Job Description

As a VP of Research & Data Science at IntelleWings, you will play a crucial role in setting the data science vision for the companys financial crime detection platform. Your responsibilities will include shaping the research direction, leading a team of data scientists, and collaborating with engineering and product teams to deploy accurate and resilient AI models in live banking environments. Your expertise in modern data science techniques and experience in FinTech, RegTech, AML, fraud, or financial crime detection will be highly valuable in this role.**Key Responsibilities:**- Set the model strategy for the AML and mule account detection platform- Lead a team of data scientists to develop and deploy machine learning models- Partner with engineering and product teams to architect, build, and validate models- Ensure all deployed models are accurate, resilient, and compliant with regulatory standards- Define research direction, model roadmaps, and milestones- Resolve conflicts, set priorities, and ensure timely delivery of high-quality models**Qualifications Required:**- 8 years of hands-on experience in core data science models and mathematics- Deep expertise in supervised and unsupervised learning, anomaly detection, NLP, and risk scoring- Strong understanding of MLOps, model governance, and explainability- Ability to translate complex business problems into solvable data science tasks- Experience in deploying models at scale in real-time environments- Thought leadership in the field of data science and AI- PhD in a related field preferredIf you are a passionate, technical leader who enjoys the challenges of a startup environment and can work full-time from Chandigarh, then this VP of Research & Data Science position at IntelleWings could be the perfect opportunity for you. Dont miss the chance to join a high-growth FinTech company that is making a significant impact in the world of AML software across multiple regions. Apply now by sending an email to the provided addresses. As a VP of Research & Data Science at IntelleWings, you will play a crucial role in setting the data science vision for the companys financial crime detection platform. Your responsibilities will include shaping the research direction, leading a team of data scientists, and collaborating with engineering and product teams to deploy accurate and resilient AI models in live banking environments. Your expertise in modern data science techniques and experience in FinTech, RegTech, AML, fraud, or financial crime detection will be highly valuable in this role.**Key Responsibilities:**- Set the model strategy for the AML and mule account detection platform- Lead a team of data scientists to develop and deploy machine learning models- Partner with engineering and product teams to architect, build, and validate models- Ensure all deployed models are accurate, resilient, and compliant with regulatory standards- Define research direction, model roadmaps, and milestones- Resolve conflicts, set priorities, and ensure timely delivery of high-quality models**Qualifications Required:**- 8 years of hands-on experience in core data science models and mathematics- Deep expertise in supervised and unsupervised learning, anomaly detection, NLP, and risk scoring- Strong understanding of MLOps, model governance, and explainability- Ability to translate complex business problems into solvable data science tasks- Experience in deploying models at scale in real-time environments- Thought leadership in the field of data science and AI- PhD in a related field preferredIf you are a passionate, technical leader who enjoys the challenges of a startup environment and can work full-time from Chandigarh, then this VP of Research & Data Science position at IntelleWings could be the perfect opportunity for you. Dont miss the chance to join a high-growth FinTech company that is making a significant impact in the world of AML software across multiple regions. Apply now by sending an email to the provided addresses.

Keyskills :
Data ScienceResearchUnsupervised LearningAnomaly DetectionNLPFinTechAMLFraud DetectionSupervised LearningOutlier DetectionGraph AnalyticsNetwork AnalyticsEntity ResolutionRisk ScoringMLOpsModel GovernanceExplainabilityRegTech