Fraud Strategy, Specialist

Responsibilites
1. Partner with internal stakeholders to understand strategic objectives, define data-driven approaches, and lead high-impact analytical projects that align with business goals.
2. Extract, clean and integrate structured and unstructured data from multiple sources, ensuring data accuracy, consistency and reliability for business use.
3. Conduct in-depth statistical analysis and predictive modeling to uncover trends, correlations and insights that drive business growth and operational efficiencies.
4. Develop and implement machine learning models and advanced analytics techniques to support strategic initiatives such as customer segmentation, demand forecasting and risk assessment.
5. Build and automate interactive dashboards, real-time reports and data visualization tools using Power BI, Tableau, or similar platforms to enable data accessibility across teams.
6. Enhance and optimize data pipelines, ETL processes and cloud-based data infrastructures to improve data processing speed, scalability and performance.
7. Act as a subject matter expert on data analytics, providing mentorship, training and guidance to junior analysts to strengthen the organization’s analytical capabilities.
8. Automate and streamline recurring data analysis and reporting workflows using Python, SQL and other programming tools to improve efficiency and reduce manual effort.
9. Collaborate with leadership to design and implement data-driven strategies, presenting insights in a clear and compelling manner to both technical and non-technical audiences.

Qualifications and Skills

• Minimum 8 years of relevant work experience, with at least 4 years in advanced analytics, statistical modeling or business intelligence.
• Bachelor’s degree (B.E./B.Tech) in Computer Science, IT, or a Bachelor’s in Statistics/Mathematics.
• Expertise in SQL for data querying, performance optimization, and database management.
• Strong proficiency in Python or R for statistical analysis, automation, and machine learning model development.
• Experience with cloud-based data platforms such as AWS, GCP, or Azure, including data lakes and big data processing tools.
• Ability to translate complex data insights into clear and actionable recommendations for business stakeholders.

Location

This role is based in Hyderabad, Telangana at Vanguard India. Only qualified external applicants will be considered.

Our mission

Vanguard adheres to a simple purpose: To take a stand for all investors, to treat them fairly, and to give them the best chance for investment success.

Our commitment to you

Vanguard takes the same long-term view of your success—at work and in life—with Benefits and Rewards packages that reflect what you care about, throughout all the phases and stages of your life. Our Total Rewards programs provide you and your loved ones with wellness support for key areas in your life:

Financial wellness
We're committed to enabling your financial success and provide competitive offers and programs.

Physical wellness
We're committed to providing benefits that support your physical health and wellness.

Personal wellness
We're committed to providing resources that help support the full scope of your life.

How we work

Vanguard has implemented a hybrid working model for most of our employees (crew members), designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.