Business Analyst (Wholesale Credit Risk & Python) - Mumbai - Assistant Vice President
Citigroup · Mumbai
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Institutional Credit Management’s (“ICM”) objective is to provide an integrated “end-to-end” credit underwriting, identification, measurement, management, monitoring and reporting for wholesale credit businesses across the enterprise. In-Business Quality Assurance is an integral part of the ICM organization.
The ICM In-Business Quality Assurance function (QA) verifies that established standards and processes are followed and consistently applied. ICM Management uses the results of the quality assurance reviews to assess the quality of the group's policies, procedures, programs, and practices as relates to the management of wholesale credit risk. The results help management identify operational weaknesses, risks associated with the function, training needs, and process deficiencies.
The ICM In-Business Quality Assurance - Business Risk Officer executes and participates on the Quality Assurance Reviews (QARs), providing feedback, insight, and observations on any deficiency and areas of improvement, engaging with the management of the respective ICM business area, Independent Risk, and critical partner stakeholders and regulators.
This role reports to the ICM In-Business Quality Assurance Data Lead, and would ideally be suited to somebody who is currently working in the capacity of a Business Auditor or Risk Management professional with experience in Counterparty Credit Risk from a financial services background.
Experience is using Python is essential for this role.
In this role, you’re expected to:
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.
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
Participate and Independently Lead Quality Assurance Reviews (QAR) covering Data relevant aspects.
Read Policies, Standards and Procedures to understand key pillars, responsibilities, associated risks and expected controls for the business process(es) in scope.
Lead data discovery to identify data lineage, controls, etc. for the defined business process in scope.
Good grasp of Wholesale Credit Risk Processes and organizational awareness, to evaluate findings identified through the Quality Assurance process, determine materiality, and partnering with business to drive sustainable remediation.
Deep and hands-on in deriving concrete insight from data and qualifying business impact.
Collaborate within IBQA teams and with QA Directors and provide them with analytics insights.
Monitors exceptions to dispute policy and identifies drivers of exceptions.
Leverages data to examine effectiveness of the business processes.
Has the ability to operate with a limited level of direct supervision
Can exercise independence of judgement and autonomy.
Acts as SME to senior stakeholders and /or other team members.
Support WCR IBQA team to abreast of relevant changes to rules/regulations and other industry news including regulatory findings.
As a successful candidate, you’d ideally have the following skills and exposure:
8+ years relevant work experience in Risk & Control function focusing on Wholesale Credit Risk.
Strong knowledge of Counterparty Credit Risk
Deep understanding of control framework in the banks
Experience in BCBS 239 is highly desirable.
Python is essential. Tableau, SQL, MS Excel, (added advantage)
Consistently demonstrates clear and concise written and verbal communication skills.
Effective organizational influencing skills required.
Excellent problem-solving skills Ability to see the big pictures with high attention to critical details.
Demonstrated ability to develop and implement strategy and process improvement initiatives.
Education:
Bachelors/University degree, Master’s degree preferred in Finance, Statistics, Operational Research,
Global Benefits:
We provide programs and services for your physical and mental well-being including access to telehealth options, health advocates, confidential counseling and more. Coverage varies by country.
We have a variety of programs that help employees balance their work and life, including generous paid time off packages.
Working at Citi is far more than just a job. A career with us means joining a family of more than 230,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact.
Take the next step in your career, apply for this role at Citi today
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
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Job Family Group:
Risk Management------------------------------------------------------
Job Family:
Business Risk & Control------------------------------------------------------
Time Type:
Full time------------------------------------------------------
Most Relevant Skills
Credible Challenge, Data Analysis, Laws and Regulations, Management Reporting, Policy and Procedure, Referral and Escalation, Risk Controls and Monitors, Risk Identification and Assessment, Risk Remediation.------------------------------------------------------
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
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