Data Analytics Vice President, Citi

Citi

Location:
India, Mumbai

Category:
Finance

Contract Type:
Employment contract

Salary:

Not provided

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Job Description:

The role of Data Analytics Vice President involves executing and participating in Quality Assurance Reviews for Wholesale Credit Risk, analyzing large datasets, collaborating with stakeholders, driving sustainable remediation, and supporting the design and operation of credit processes. Proficiency in data analytics, programming, and a solid understanding of financial risk management are essential.

Job Responsibility:

Support the In-Business Quality Assurance Head of Data Analytics to set the global strategy for and lead the implementation and ongoing delivery of a robust Data analytics and testing program for the Quality Assurance function as it relates to Wholesale Credit Risk (WCR) data governance
Provide effective challenge on the design and operation of the data and credit processes within ICM and report any identified gaps and concerns on those through quarterly reports published to ICM senior management
Ability to query and clean complex datasets from multiple sources, to funnel into advanced statistical analysis
Hands-on experience in designing, planning, prototyping, productionizing, deploying, maintaining, and documenting reliable and scalable data science solution(s)
Deep and hands-on in deriving concrete insights from data and qualifying business impact
Perform Design, Operational effectiveness assessments of various business processes within Wholesale Credit Risk with primary focus on Credit Underwriting, Counterparty Credit Risk and Collateral Management
Develop processes and tools to monitor and analyse model performance and data accuracy
Provide oversight and guidance over the assessment of complex data related issues, structure potential solutions and drive effective resolution with stakeholders
Support WCR IBQA team to stay abreast of relevant changes to rules/regulations and other industry news including regulatory findings
Acts as SME to senior stakeholders and other team members
Exercise independence of judgment and autonomy.

Requirements:

Demonstrable relevant experience of data analytics, in innovation, modelling and analytics, internal audit, or similar functions at an investment or large commercial bank
Strong Knowledge of Wholesale Credit Risk (including Counterparty Credit Risk)
Excellent communication skills with the ability to effectively collaborate with stakeholders at all levels to elicit requirements and priorities
Good understanding of Risk and control framework in the banks
Coding knowledge and experience with at least two programming languages (C++, Python, C#, Java, R, etc.)
Experience with deep learning framework PyTorch strongly preferred but not mandatory
Experience working and manipulating large set of data.

Nice to have:

Experience with deep learning framework PyTorch
Experience in preparing presentations for seniors
Understanding of process redesign / re-engineering and execution
Experience with big data tools: Hadoop, Spark, Kafka
Visualization tools: Tableau, Qlikview, MS Power BI.

What we offer:

Equal opportunity employer
Global benefits
Reasonable accommodation for persons with disabilities.

Additional Information:

Job Posted:
May 07, 2025

Employment Type:

Fulltime

Work Type:

On-site work

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Data Analytics Vice President