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Third-party Management - Risk Assessment And Data Analyst

Citi
Tamil Nadu, IND
Full-time
Onsite
Discovered 3 weeks ago
Data analyticsThird-party risk managementRisk tiering validationRisk managementData governancePython

Full Job Posting

Role overview

The AVP - TPM Risk Assessment and Data Analyst is a senior analytical and governance role in Procurement and Third Party Management.

The role leads risk-tiering efficacy validation, portfolio insights, and integrity of the risk governance framework.

The analyst partners with operational teams, control owners, and technology partners to align risk-tiering execution with policy and regulatory standards.

Risk governance and quality assurance

  • Define, implement, and audit quality-control standards for risk-tiering reports and compliance records.
  • Oversee archival integrity and ensure audit readiness under global record-management standards.
  • Govern the TPM reporting repository, including access control, data classification, metadata, and information architecture.

Analysis and validation

  • Lead data reconciliation across global organizational segments, processes, and taxonomies; analyze anomalies and design remediation pathways.
  • Validate risk-tiering distributions, Aravo assessments, and heat-matrix mappings against exposure and methodology standards.
  • Develop scripts for sensitivity analysis, scenario planning, and methodology-change impact assessments; maintain calculation templates as rules change.
  • Synthesize strategic insights for executive decision-making.

Stakeholder engagement

  • Advise business units and junior analysts on risk-tiering calculations.
  • Partner with control and activity owners to resolve assessment conflicts, clarify policy overrides, and improve processes.

Experience and technical qualifications

  • 8+ years in data analytics, risk management, or data governance; global financial services experience is preferred.
  • Direct Third-Party Risk Management experience is highly desirable.
  • Strong programming and automation using Python, SQL, VBA, or data extraction tools such as Xceptor.
  • Advanced Excel skills for complex comparisons, logical modeling, lookups, and pivot tables.
  • Understanding of inherent risk, operational risk taxonomies, and risk assessment methodologies.
  • Experience with compliance and archival processes and collaboration-platform governance in a regulated environment.

Education and communication

  • Bachelor's degree in Finance, Business Administration, Economics, Computer Science, Data Science, or a related quantitative field.
  • A master's degree or certifications such as FRM or CRISC are a plus.
  • Excellent written and verbal communication and ability to translate technical findings into risk-based recommendations for senior non-technical audiences.

Preferred qualifications

  • Aravo or similar third-party management application experience is preferred.
  • Familiarity with international financial services regulations, data privacy such as GDPR, and operational resilience guidelines is preferred.
  • Experience building interactive risk dashboards in Tableau or Power BI is preferred.

Employment

  • The posting states this is a full-time position.

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