Vice President - Data Analytics

JD: Lead Data Analyst

Role: As a Lead Data Scientist individual typically emphasizes both technical expertise and leadership skills. They are responsible for leading data science teams, managing projects, and ensuring alignment with business goals, while also developing and implementing data-driven solutions

Project Management

Planning, prioritizing, and overseeing data science projects, ensuring they align with business objectives.

Technical Expertise

Developing and implementing machine learning models, statistical analysis, and data visualization techniques to solve business problems.

Data Modeling And Analysis

Analyzing large datasets, identifying patterns, and extracting insights to inform decision-making.

Innovation

Staying up-to-date on the latest advancements in data science and machine learning, and identifying opportunities for innovation.

Ethical Data Practices

Ensuring that data science projects are conducted ethically and responsibly

Qualification & Experience: BE, B Tech, M Tech, MCA or related field.

Responsibilities

• Lead a Team of 5+ Data Scientist
• Strong business acumen and analytical skills
• Ability to analyze business problems, understand data and related potential solutions
• Collaborate with various Business, Operations and Technology stakeholders across Bank
• Results oriented willingness to commit to delivery and take charge
• Comfortable working in a large organization with broad set of stakeholders across various functions
• Curious, self-motivated and interested in an accelerated learning curve
• Prior hands on experience in Credit Risk area for at least 4+ years
• Having worked on different types of Banking Use cases.
  
  

Must-haves

• Total exp of 12+ years as Data Analyst/Data Scientist field
• 5+ years of work experience as Data Analyst with Credit Risk Analysis
• Strong Python, SAS or PySpark programming knowledge is required.
• Data Analytics and AI skills
• SQL programming knowledge is required
• Worked on cloud-based data infrastructure (preferable)