Role at a glance
- Job function
-
AI & Data Data Analytics
- Salary
- Not Disclosed
- Location
- DLF CYBERCITY 12B
- Work arrangement
- Hybrid
- Employment
- Full-time
- Experience
- 8+ years of experience in data analytics, risk management, or data governance roles, preferably within a global financial services...
- Education
- Bachelor’s degree in Finance, Business Administration, Economics, Computer Science, Data Science, or a related quantitative field....
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Role Summary
The AVP – TPM Risk Assessment & Data Analyst leads risk tiering validation, portfolio analytics, and governance for the third-party relationship portfolio. The role applies analytical methods and risk management principles to assess data quality, risk scoring, and alignment with internal standards.
What You'll Do
- Define, implement, and audit quality controls for risk tiering reports and compliance records, and oversee archival integrity.
- Reconcile data across organizational segments, business processes, and taxonomies; analyze anomalies and develop remediation pathways.
- Design and execute analytical frameworks to validate risk tiering distributions and alignment of assessment outcomes with methodology...
- Use analytical scripts for portfolio-wide risk scoring, sensitivity analysis, scenario planning, and methodology change assessments.
- Govern the TPM reporting repository, including access control, data classification, metadata tagging, and information architecture.
- Advise business units and junior analysts on risk tiering calculations, resolve assessment conflicts with control and activity owners,...
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Requires 8+ years of experience in data analytics, risk management, or data governance; a bachelor’s degree in a listed business, finance, computer science, data science, or related quantitative field; strong programming and automation capabilities using Python, SQL, VBA, or data extraction tools; advanced Excel skills; understanding of inherent risk principles, operational risk taxonomies, and risk assessment methodologies; experience managing compliance, archival processes, and collaboration platform governance in regulated environments; and strong written and verbal communication skills.
Required
- 8+ years of experience in data analytics, risk management, or data governance roles.
- Bachelor’s degree in Finance, Business Administration, Economics, Computer Science, Data Science, or a related quantitative field.
- Programming and automation capabilities using Python, SQL, VBA, or data extraction tools such as Xceptor.
- Advanced MS Excel skills for complex data comparison, logical modeling, lookup calculations, and pivot-table analysis.
- Understanding of inherent risk principles, operational risk taxonomies, and risk assessment methodologies.
- Experience managing structured compliance, archival processes, and collaboration platform governance in a highly regulated environment.
- Excellent written and verbal communication skills, including the ability to translate technical data findings into risk-based...
Preferred
- Experience within a global financial services institution is preferred.
- Direct experience in Third-Party Risk Management (TPRM) is highly desirable.
- A master’s degree or professional certifications such as FRM or CRISC are a plus.
- Direct operational experience using Aravo or similar enterprise-tier Third-Party Management applications.
- Familiarity with international financial services regulations, including data privacy and operational resilience guidelines.
- Experience building interactive risk dashboards using Tableau, PowerBI, or similar tools.
Original job description
Content provided by the employer
Original job description
Content provided by the employer
The AVP – TPM Risk Assessment & Data Analyst (C12) is a senior analytical and governance role within the Procurement and Third Party
Management team. This individual will be responsible for leading risk tiering efficacy validation, driving data-driven insights across the third party relationship portfolio, and ensuring the integrity of the risk governance framework.
As a C12 AVP, you will combine technical expertise in data manipulation and modeling (using advanced Excel, Python, or VBA) with robust
risk management principles to validate methodology compliance, identify portfolio anomalies, and advise senior control owners. You will act as a key liaison between operational teams, control owners, and technology partners to ensure risk tiering execution matches regulatory and internal policy standards.
Responsibilities:
- Risk Tiering Governance & Quality Assurance: Define, implement, and audit quality control standards for Risk Tiering Reports and compliance records. Oversee end-to-end archival integrity to ensure audit readiness and absolute alignment with internal global record management standards.
- Business Process Alignment & Strategic Insights: Lead complex data reconciliation and alignment reviews across global organizational segments, business processes, and taxonomies (such as GAUs and Business Process Taxonomy). Analyze anomalies, design remediation pathways, and synthesize findings into strategic insights for executive-level decision-making.
- Methodology Efficacy & Validation: Design and execute analytical frameworks to computationally validate risk tiering distributions across the global third-party portfolio. Ensure that the outcomes of Aravo inherent risk assessments and heat matrix mappings (Significance of Impact vs. Likelihood) consistently reflect actual risk exposure and align with the Risk and Control Assessment Programs Methodology Standard.
- Risk Scoring Analytics & Advanced Scenario Modeling: Develop and utilize advanced analytical scripts (e.g., Python, SQL, VBA) to perform portfolio-wide risk scoring sensitivity analysis, hypothetical scenario planning, and methodology change impact assessments. Maintain and optimize calculation templates to reflect regulatory and taxonomy changes.
- Reporting Infrastructure & Platform Governance: Manage and govern the TPM reporting repository (SharePoint/collaboration platforms), ensuring robust access control, data classification standards, metadata tagging, and intuitive information architecture for global stakeholders.
- Stakeholder Engagement & Mentorship: Act as a subject matter expert on risk tiering calculations, providing guidance to business units and junior analysts. Partner with control and activity owners to resolve assessment conflicts, clarify policy overrides (such as Tier 1 overrides for critical services), and drive process improvements.
Qualifications:
- Professional Experience: 8+ years of experience in data analytics, risk management, or data governance roles, preferably within a global financial services institution. Direct experience in Third-Party Risk Management (TPRM) is highly desirable.
- Technical Analytics Expertise: Strong programming and automation capabilities using Python, SQL, VBA, or data extraction tools (e.g., Xceptor).
- Advanced Excel Capabilities: High-level mastery of MS Excel for complex data comparison, logical modeling, lookup calculations, and pivot-table analysis.
- Risk & Control Acumen: Strong understanding of inherent risk principles, operational risk taxonomies, and risk assessment methodologies (ideally combining Significance of Impact and Likelihood factors).
- Process Governance: Proven track record of managing structured compliance, archival processes, and collaboration platform governance (SharePoint, etc.) in a highly regulated environment.
- Communication & Influence: Excellent written and verbal communication skills. Ability to translate complex, technical data findings into clear, risk-based recommendations for non-technical senior managers.
Education:
- Bachelor’s degree in Finance, Business Administration, Economics, Computer Science, Data Science, or a related quantitative field.
- Master's degree or professional certifications (e.g., FRM, CRISC) are a plus
Preferred Qualifications:
- Direct operational experience using Aravo or similar enterprise-tier Third-Party Management applications.
- Familiarity with international financial services regulations, including data privacy (GDPR, etc.) and operational resilience guidelines.
- Experience in building interactive risk dashboards (e.g., Tableau, PowerBI) to visualize portfolio-level risk distributions.
Preferred Qualifications:
- Direct operational experience using Aravo or similar enterprise-tier Third-Party Management applications.
- Familiarity with international financial services regulations, including data privacy (GDPR, etc.) and operational resilience guidelines.
- Experience in building interactive risk dashboards (e.g., Tableau, PowerBI) to visualize portfolio-level risk distributions.
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Job Family Group:
Research------------------------------------------------------
Job Family:
Research Product------------------------------------------------------
Time Type:
Full time------------------------------------------------------
Most Relevant Skills
Please see the requirements listed above.------------------------------------------------------
Other Relevant Skills
Risk Analysis, Third Party Management, Third Party Risk Management.------------------------------------------------------
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About the company
Citi
Large Enterprise
Citi is a global financial services corporation that offers a wide range of financial products and services, including consumer banking, credit, investment banking, and wealth management. With a presence in nearly 100 countries, Citi serves millions of customers, from individuals and small businesses to large corporations and governments. The company is dedicated to innovation and sustainability, actively working to support economic growth while addressing environmental and social challenges. Citi’s commitment to providing exceptional service and fostering diverse talent makes it a prominent choice for students aspiring to build a career in finance and banking.