Level

Vanguard

Manager, Fraud Analytics & Operations (FROM BOT)

AI in this role

About Vanguard
Founded in 1975, Vanguard is one of the world's leading investment management companies. The firm offers investments, advice, and retirement services to tens of millions of individual investors around the globe—directly, through workplace plans, and through financial intermediaries.

 

Vanguard India

Vanguard’s office in India is a significant milestone in our global expansion. We are committed to establishing an enduring technology center in Hyderabad, Telangana and are excited to be adding talent who will focus on Artificial Intelligence (AI), mobile, and cloud-based technologies that drive our business outcomes and deliver a world-class experience for our clients.  

Role Summary
This role provides technical expertise and oversees complex fraud analytics and risk mitigation across the enterprise. It identifies, reports, and assists with the recommendation, development, implementation, and monitoring of risk prevention and data programs. Additionally, the role leads the development and ongoing enhancement of fraud detection and prevention strategies by analyzing transaction patterns using advanced analytical tools.

Core Responsibilities
1. Hires, evaluates, and supervises crew. Provides guidance and training as necessary to develop crew. Sets performance standards, reviews performance, and makes informed compensation decisions in accordance with all applicable Human Resources policies and procedures.
2. Manages and leads projects and processes related to fraud analytics, reporting and planning, including governance frameworks, data structures, and deliverables. Reviews analytics and statistics knowledge to determine risk and recommend plans.
3. Collects, analyzes, and communicates statistics related to daily fraud mitigation operations to leadership and other stakeholders.
4. Analyzes and supports the delivery of products and reviews the validation of scalable analyses. Reviews products to ensure they meet stakeholders' needs. Builds and manages vendor relationships supporting the delivery of analytical capabilities.
5. Ensures alignment between department or team deliverables and enterprise goals.
6. Develops strategic relationships to understand business processes to develop risk mitigation processes. Leads the team as they bring structure to requests and translates requirements into an analytic approach. Provides team's recommendations to key business partners as needed.
7. Develops understanding of industry trends. Advocates to ensure implementation of governance practices.
8. Oversees the investigation of fraud alerts and escalated cases, ensuring appropriate analysis, documentation, and timely resolution of complex fraud matters.
10. Leads the development, implementation, and ongoing enhancement of fraud detection and prevention strategies using advanced analytical tools and techniques.
11. Ensures compliance with fraud-related policies, procedures, and audit requirements, including supporting internal and external audits and monitoring the implementation of audit recommendations.
12. Participates in special projects and performs other duties as assigned.

Qualifications

  • Minimum 8 years of experience in fraud analytics, fraud risk management, or risk operations, including experience leading teams, managing complex analytical initiatives and supporting enterprise-level fraud mitigation strategies.
  • Bachelor’s degree in Statistics, Mathematics, Data Science, Finance, Computer Science, or a related field. A postgraduate or professional degree is preferred.
  • Strong expertise in fraud analytics, transaction monitoring, risk assessment, fraud detection methodologies, and governance frameworks.
  • Hands-on experience with analytical tools such as Python, R, SAS, SQL, and data visualization platforms such as Tableau or Power BI.
  • Proven ability to translate complex analytical insights into actionable recommendations for senior leadership and business partners.
  • Strong people management, stakeholder engagement, communication, and decision-making skills.
  • Exposure to regulatory compliance, audit processes, and coordination with internal risk, compliance, or legal teams is preferred.

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.

How we rate this

Manager, Fraud Analytics & Operations (FROM BOT) at Vanguard rates 36 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

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