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Bulge Bracket Investment BanksPosted 9 days ago
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**Risk Policy Intermediate Analyst** Mid-level analytics role with Citi, seeking a professional with 4-7 years' experience to analyze business performance and drive strategic decisions. Key responsibilities include data gathering, trend identification, insightful analysis, and process improvement. Must be proficient in SAS, SQL, and possess strong analytical and project management skills. Additionally, experience in credit/fraud risk analytics, employment of statistical procedures, and familiarity with UNIX, R, Python, Hadoop, Spark are preferred. A master's degree in a highly quantitative field is required.
- Compensation
- Not specified
- City
- Mumbai
- Country
- India
Currency: Not specified
Full Job Description
Risk Policy Intermediate Analyst
Job Req Id:
261004677
Location(s):
Mumbai, Maharashtra, India
Job Type:
Hybrid
Posted:
Nov. 03, 2026
Discover your future at Citi
Working at Citi is far more than just a job. A career with us means joining a team of approximately 219,000 dedicated people from around the globe. At Citi, youll have the opportunity to grow your career, give back to your community and make a real impact.
Job Overview
The Business Analytics Int Analyst is a developing professional role. Deals with most problems independently and has some latitude to solve complex problems. Integrates in-depth specialty area knowledge with a solid understanding of industry standards and practices. Good understanding of how the team and area integrate with others in accomplishing the objectives of the sub function/ job family. Applies analytical thinking and knowledge of data analysis tools and methodologies. Requires attention to detail when making judgments and recommendations based on the analysis of factual information. Typically deals with variable issues with potentially broader business impact. Applies professional judgment when interpreting data and results. Breaks down information in a systematic and communicable manner. Developed communication and diplomacy skills are required in order to exchange potentially complex/sensitive information. Moderate but direct impact through close contact with the businesses' core activities. Quality and timeliness of service provided will affect the effectiveness of own team and other closely related teams.
Responsibilities:
- Gathers operational data from various cross functional stakeholders to examine past business performance.
- Identifies data patterns & trends, and provides insights to enhance business decision making capability in business planning, process improvement, solution assessment etc.
- Recommends actions for future developments & strategic business opportunities, as well as enhancements to operational policies.
- May be involved in exploratory data analysis, confirmatory data analysis and/or qualitative analysis.
- Translate data into consumer or customer behavioral insights to drive targeting and segmentation strategies, and communicate clearly and effectively to business partners and senior leaders all findings
- Continuously improve processes and strategies by exploring and evaluating new data sources, tools, and capabilities
- Work closely with internal and external business partners in building, implementing, tracking and improving decision strategies
- Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.
Qualifications:
- 4 to 7 years relevant experience preferred
- Advanced process management skills, organized and detail oriented
- Curious about learning and developing new skillsets
- Positive outlook with a can-do mindset
Develops Risk Segmentation models, Strategies for credit abuse/first party fraud risk segmentation at Acquisition and Existing Customer Management stages
Work in establishing the swap set analysis and PnL optimization using the models
Hands on experience of Credit/Fraud Risk strategy development.
Preferred knowledge of credit/fraud risk analytics
Work closely with cross functional teams, including business stakeholders, MRM and governance teams, and strategy implementation teams. Implement initiatives to ensure consistency and compliance with global credit policies
Observe key credit abuse trends, threats, inaccuracies and drivers of those observations. Support Audit requirements from external/internal auditors & queries from Independent Risk
Strong analytic, strategic and project management skills
Create story boards, presentations and project plans for discussions with senior management drive insights
Utilize UNIX and Statistical Analysis System (SAS) to perform risk, financial and data analyses including profiling, sampling, reconciliation, and hypothesis testing
Knowledge and experience of statistical procedures and financial analytic tools. (SQL, R, Python, Hadoop, Spark, SAS) and Machine Learning knowledge preferred
Education:
- Advanced Degree (Masters required) in Statistics, Applied Mathematics, Operations Research, Economics, MBA (Finance), or other highly quantitative discipline
Other details
- Work timings are 1:00 PM-10:00 PM IST
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:
Decision Management------------------------------------------------------
Job Family:
Business Analysis------------------------------------------------------
Time Type:
Full time------------------------------------------------------
Most Relevant Skills
Please see the requirements listed above.------------------------------------------------------
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
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