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Open nowPosted 61 days ago

Senior Process Manager - Fraud Data Modeling (Vice President)

SVB30 open roles

Where
Bangalore, India
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Your applicationOpen nowSenior Process Manager - Fraud Data Modeling (Vice President)SVB · Bangalore, India
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The clock on this job

Early applications get read.

13.9% of postings close within 7 days. Measured by our own scanner across the market. SVB postings stay open a median of 13 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.9%7 days
  4. 22.4%14 days
  5. 38.1%30 days
  6. 59.0%60 days
This job: posted 61 days ago

SVB median: 13 days open

The posting

FC Global Services India LLP (First Citizens India), a part of First Citizens BancShares, Inc., a top 20 U.S. financial institution, is a global capability center (GCC) based in Bengaluru. Our India-based teams benefit from the company’s over 125-year legacy of strength and stability. First Citizens India is responsible for delivering value and managing risks for our lines of business. We are particularly proud of our strong, relationship-driven culture and our long-term approach, which are deeply ingrained in our talented workforce. This is evident across all key areas of our operations, including Technology, Enterprise Operations, Finance, Cybersecurity, Risk Management, and Credit Administration. We are seeking talented individuals to join us in our mission of providing solutions fit for our clients’ greatest ambitions.

Job Description:

Value Preposition

Exposure to Core Payment Systems

Opportunity to work within critical model development and statistical analysis ensuring seamless implementation of regulatory and operational changes in a high-impact, regulated environment.

Cross-Functional Collaboration

Engage with global teams across product, technology and operations, leading process improvements and automation in a key transformational space.

Job Details

Position Title: Senior Process Manager - Fraud Data Modeling

Career Level: P5

Job Category: Vice President

Role Type: Hybrid

Job Location: Bangalore

About the Team:

The primary function of this role is to support the gathering, organizing, and analyzing large data sets using statistical techniques and tools, to ensure data quality, integrity and compliance with applicable laws, regulations, and Bank policies that assist management with making informed business decisions. Serves as liaison to the Bank's control groups and external vendors to ensure compliance with various controls and change management requirements. Implements technological solutions to support availability of analytical information being used by the business.

Impact

The successful candidate will be responsible for leading data analysis, model development and MRM activities leveraging statistical techniques and tools ensuring bank operates within the compliance established by the laws, regulations, bank policies and change management requirements.

Key Deliverables

  • Data Analysis – Lead advanced quantitative analyses to assess fraud risk, validate model performance, identify emerging threats, and drive enhancements to fraud prevention capabilities while ensuring strong data governance.
  • Model Development – Lead the design, validation, implementation, and ongoing performance monitoring of fraud detection models across digital and payment channels, optimizing detection effectiveness and customer experience.
  • Model Risk Management & Governance – Serve as a subject matter expert for Model Risk Management, overseeing model governance, performance monitoring, change management, issue remediation, and regulatory engagement while providing effective challenge to model design and assumptions.
  • Strategic Partnership & Leadership – Partner with senior leaders and key stakeholders to influence fraud strategy, drive model-related decisions, and communicate insights and recommendations to leadership and governance forums.

Skills and Qualification

Functional Skills:

  • Master's degree in a quantitative field such as Statistics, Mathematics, Economics, or related discipline preferred. PhD in a quantitative discipline preferred.
  • 12+ years of experience in fraud data modelling or any related quantitative fields is required.
  • Extensive experience with Model Risk Management (MRM), including model governance, validation, monitoring, documentation, regulatory engagement, and effective challenge.
  • Deep expertise in fraud risk analytics preferred, with direct experience developing, validating, or overseeing digital fraud models.
  • Experience in credit risk, BSA/AML, or related financial crime analytics functions preferred.
  • Expert-level proficiency in SQL and one or more analytical programming languages such as Python, R, or SAS.
  • Strong knowledge of statistical modeling, machine learning, model validation methodologies, and performance monitoring frameworks.
  • Experience presenting model findings and risk assessments to senior management, risk committees, auditors, and regulators.

Technical/Business Skills:

  • Strong understanding of banking regulations, model governance requirements, and industry best practices.
  • Prior people leadership, team lead, mentoring, or project leadership experience.
  • Must be able to work independently on assigned duties while successfully collaborating in a team friendly environment.
  • Strong organizational and time management skills are essential under tight deadlines.
  • Ability to independently prioritize deliverables and assignments.

Relationships & Collaboration

  • Comfortable interacting coupled with building relationships and collaborations with internal clients to resolve issues.

Accessibility Needs

We are committed to providing an inclusive and accessible hiring process. If you require accommodations at any stage (e.g. application, interviews, onboarding) please let us know, and we will work with you to ensure a seamless experience.

Equal Employment Opportunity

FC Global Services India LLP (First Citizens India) is an Equal Employment Opportunity Employer. We are committed to fostering an inclusive and accessible environment and prohibit all forms of discrimination on the basis of gender, religion, caste, disability, sexual orientation, economic status or any other characteristics protected by the law. We strive to foster a safe and respectful environment in which all individuals are treated with respect and dignity. Our EEO policy ensures fairness throughout the employee life cycle.

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