Business Analytics Sr Analyst - AVP - MUMBAI

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, you’ll have the opportunity to grow your career, give back to your community and make a real impact.

The Business Analytics Sr Analyst is a seasoned professional role. Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and work-flow for the area or function. Integrates subject matter and industry expertise within a defined area. Requires in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the function and overall business. Evaluates moderately complex and variable issues with substantial potential impact, where development of an approach/taking of an action involves weighing various alternatives and balancing potentially conflicting situations using multiple sources of information. Requires good analytical skills in order to filter, prioritize and validate potentially complex and dynamic material from multiple sources. Excellent communication and diplomacy skills are required. Regularly assumes informal/formal leadership role within teams. Involved in coaching and training of new recruits. Significant impact in terms of project size, geography, etc. by influencing decisions through advice, counsel and/or facilitating services to others in area of specialization. Work and performance of all teams in the area are directly affected by the performance of the individual. 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.

Recommended Qualifications:

7+ years of experience in SAS, Risk Analytics, Fraud, Credit Abuse , P&L Analysis , Segmentation, CHAID , Credit Cards, Risk Appetite Acquisition, Underwriting

This position requires excellent analytical and business strategy skills

Effective communication skills

Ability to present to business partners and/or leaders to gain approvals

Project and process management skills

Excellent written and verbal communications skills

Experience with a prior focus in financial services analytics

Solid organizational skills and ability to manage multiple projects at one time

Self-starter who also has a demonstrated ability to work successfully in team environment and drive

Education:

Bachelors/University degree in Engineering, Statistics, Economics, or MBA

Other requirements

Work timings: 1 PM - 10 PM IST

Work type: Hybrid (3 days a week in office)

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

Develop Risk Segmentation, Strategies for credit abuse/first party fraud risk discrimination at Acquisition and Existing Customer Management stages. Work in establishing the swap set analysis and PnL optimization using the models

Develop recommendations to adjust credit abuse strategies by analyzing loss and financial performance and utilizing statistical scoring, segmentation, and regression and simulation techniques

Create story boards, presentations and project plans for discussions with senior management – drive insights

Participate in audit related reviews , regulatory reporting and should have sound communication skill to present in such forums

Work closely with cross functional teams, including business stakeholders, MRM and governance teams, and model implementation teams

Lead projects for junior team members and helps them in their professional development

Participate in developing, testing, and optimizing abuse strategies, ensuring consistency and regulatory compliance, and assist in the implementation of those strategies, processes and other related initiatives

Utilize Statistical Analysis System (SAS) in a UNIX environment to perform risk, financial and data analyses including profiling, sampling, reconciliation, and quality testing

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