Hybrid Risk Analytics Lead - Historical Data

Citigroup Business Process Solutions Pte. Ltd.; Pateros; Hybrid; PHP 2,800,000 - 4,000,000; Full time

Job summary

Citi in Taguig, Philippines, seeks a Vice President, Historical Data Management Lead - Hybrid. You will oversee data quality for market risk data, drive model development/validation, and deliver analytics to support risk management and regulatory reporting.

Ideal candidates have 6+ years in risk/data roles, strong Python/SQL, and a track record in leading projects and collaborating with stakeholders across teams.

Qualifications

• 6+ years of experience in market risk and data quality analysis or related fields.
• Experience in coding Python and SQL.
• Proficient in Microsoft Office with emphasis on Excel.
• Strong written and verbal communication skills.
• Project management and organizational skills; ability to handle multiple projects.
• Practical experience with statistical coding to build/test prediction models (SAS or similar).
• Experience in risk management in a financial institution with model development or validation.

Responsibilities

• Lead data analysts responsible for data quality review and remediation of market risk data.
• Serve as SME with strong data management mindset and stakeholder management.
• Oversee model development/validation lifecycles, including validation and annual reviews.
• Provide analytics and reporting to manage Citi's risk and operations.
• Translate business requests into data criteria and model development efforts.
• Communicate results to diverse audiences and document technical findings.

Skills

Python

SQL

Excel

Communication

Project management

Data analysis

SAS

Risk management

Education

Bachelor's degree or equivalent

MS/MBA or equivalent

Tools

SAS

Job description

Citi in Taguig, Philippines, seeks a Vice President, Historical Data Management Lead - Hybrid. You will oversee data quality for market risk data, drive model development/validation, and deliver analytics to support risk management and regulatory reporting.

Ideal candidates have 6+ years in risk/data roles, strong Python/SQL, and a track record in leading projects and collaborating with stakeholders across teams.