Data Profiling & Ad Hoc Data Science - Vice President

Location: Bengaluru, Karnataka, India

Job Family: Data Management

About the Role

At JP Morgan Chase, we are a leading global financial services firm with a commitment to innovation and excellence in data-driven decision-making. As a Vice President in Data Profiling & Ad Hoc Data Science within our Data Management category, you will play a pivotal role in elevating our analytical capabilities in Bengaluru, Karnataka, India. This position involves leading initiatives that profile and analyze vast financial datasets to uncover strategic insights, supporting key areas such as investment banking, asset management, and consumer banking. You will drive data quality improvements and ad hoc projects that directly impact business outcomes, ensuring our data assets align with global standards and regulatory demands in the financial sector. In this leadership role, you will spearhead data profiling activities to evaluate the accuracy, consistency, and usability of structured and unstructured data from diverse sources like transaction logs, market feeds, and customer records. Collaborating with teams across risk, compliance, and technology, you will design custom data science solutions using tools like Python, SQL, and advanced analytics platforms to address immediate business needs, such as fraud detection models or portfolio optimization strategies. Your work will emphasize agile methodologies to deliver timely insights, fostering a collaborative environment where data becomes a cornerstone for JP Morgan Chase's competitive edge in the financial industry. We seek a strategic thinker with deep expertise in financial data ecosystems, capable of translating complex analyses into actionable recommendations for executive stakeholders. This role offers the opportunity to influence high-impact projects at one of the world's largest banks, contributing to initiatives that enhance client experiences and operational efficiency. Join us to leverage your skills in a dynamic, inclusive culture that values innovation and professional growth.

Key Responsibilities

• Lead data profiling efforts to assess data quality, completeness, and integrity across JP Morgan Chase's financial datasets
• Develop and execute ad hoc data science projects to provide actionable insights for risk management, fraud detection, and customer analytics
• Collaborate with cross-functional teams including risk, compliance, and technology to align data initiatives with business objectives
• Design and implement data analysis strategies using advanced statistical methods and machine learning techniques tailored to financial services
• Mentor junior data professionals and foster a culture of data-driven decision-making within the organization
• Conduct exploratory data analysis to identify trends, anomalies, and opportunities in market data and transaction records
• Ensure adherence to JP Morgan Chase's data governance policies and regulatory requirements in all projects
• Present findings and recommendations to senior leadership, translating complex data insights into strategic business advice
• Optimize data pipelines and tools for efficient ad hoc querying and reporting in high-volume banking environments

Required Qualifications

• Bachelor's degree in Computer Science, Data Science, Statistics, or a related field; Master's degree preferred
• 8+ years of experience in data analysis, data profiling, or data science roles within the financial services industry
• Proven track record in leading data-driven initiatives and delivering strategic insights to senior stakeholders
• Strong proficiency in SQL, Python, and data visualization tools for handling large-scale financial datasets
• Experience with data governance, quality assurance, and compliance standards in banking environments
• Ability to manage cross-functional teams and collaborate with business units in a fast-paced corporate setting

Preferred Qualifications

• Advanced degree (MBA or PhD) with a focus on finance or analytics
• Prior experience at a major financial institution like JP Morgan Chase or similar
• Certification in data science (e.g., AWS Certified Data Analytics or Google Data Analytics Professional)
• Familiarity with regulatory frameworks such as GDPR, Basel III, or Dodd-Frank in financial data management

Required Skills

• Expertise in SQL and Python for data querying and scripting
• Proficiency in data visualization tools like Tableau or Power BI
• Strong knowledge of machine learning frameworks (e.g., scikit-learn, TensorFlow)
• Experience with big data technologies such as Hadoop, Spark, or AWS services
• Analytical mindset with advanced statistical modeling skills
• Financial domain knowledge including risk assessment and regulatory compliance
• Excellent communication and presentation skills for stakeholder engagement
• Project management abilities using Agile or Scrum methodologies
• Problem-solving skills for complex data challenges in banking
• Attention to detail in data quality and validation processes
• Leadership and team collaboration in multicultural environments
• Familiarity with ETL processes and database management systems
• Adaptability to evolving financial technologies and trends

Benefits

• Competitive base salary and performance-based annual bonuses
• Comprehensive health, dental, and vision insurance coverage
• Retirement savings plan with generous company matching contributions
• Paid time off including vacation, sick leave, and parental leave
• Professional development programs and tuition reimbursement for advanced certifications
• Employee stock purchase plan and financial wellness resources
• On-site fitness centers, wellness programs, and mental health support
• Flexible work arrangements including hybrid options in Bengaluru

JP Morgan Chase is an equal opportunity employer.