Head - Data Science - FinTech

Department Icon Data Science Analytics & Machine Learning
Posted: 1 year ago
10-15 years
Noida
Data Science Analytics & Machine Learning
work from office
Full Time

Posted: 1 year ago
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Posted over 15 days ago, so the role may have closed. Confirm on the employer's page when you apply, or see similar jobs.

Job Description

Description:

We are seeking a visionary Head of Data Science to lead and scale our data science function in a fast-growing Fintech environment. This role is pivotal in driving data-driven decision-making, optimizing financial products, and building advanced machine learning models that enhance customer experience, manage risk, and fuel business growth.
As the Head of Data Science, you will be responsible for defining our data strategy, leading a high-performing team of data scientists, AI/ML Engineers and Credit Risk analysts. Collaborating cross-functionally with Product, Engineering, Risk, and Business teams.

Key Responsibilities:


Leadership & Strategy:

- Define and execute the data science vision and strategy aligned with company goals.
  • Build, mentor, and lead a multidisciplinary team of data scientists, AI/ML engineers, and credit risk analysts.
  • Develop frameworks and best practices for data experimentation, modeling, and deployment.

- Champion a data-driven culture across the organization.


Model Development & Innovation:

  • Lead the development of predictive and prescriptive models in areas such as:
  • a. Credit scoring and risk assessment
  • b. Fraud detection and prevention
  • c. Customer segmentation and lifetime value modeling
  • d. Personalization and recommendation systems
  • e. Pricing optimization and product analytics
  • - Ensure scalability, interpretability, and regulatory compliance of all models.

Data Infrastructure & Governance:

  • Collaborate with data engineering to ensure robust data pipelines, architecture, and quality.
  • Establish standards for data governance, security, and ethical AI practices.

- Drive the integration of data science solutions into production systems.


Cross-Functional Collaboration:

  • Partner with Product and Engineering to integrate ML models into fintech applications and workflows.
  • - Work with Risk and Compliance to align analytical models with regulatory frameworks (e.g., AML, KYC,
  • GDPR).
  • - Provide actionable insights to Executive Leadership for strategic business decisions.

Skills

Data ScienceData AnalyticsAnalyticsArtificial IntelligenceMachine LearningAnalytics HeadConsulting - BFSIData GovernanceData ScienceAi/mlAnalyticsAiMl

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