Business Analytics Analyst with SAS & Python

Citi; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Citi is seeking an energetic Fraud Analytics Analyst 2 to join the Global Fraud Analytics team in Bengaluru. This role analyzes data to detect fraud trends across the retail bank and designs strategies to prevent and mitigate fraud life-cycle attacks.

You will work with Senior stakeholders, Fraud Policy, Operations and technology teams to implement strategic interventions and deliver actionable insights. Strong SAS/SQL skills and Tableau proficiency are essential.

Qualifications

• Bachelor's degree in a quantitative field with 3+ years of analytics experience.
• SAS and SQL proficiency required; R or Python desirable.
• Proficient in data visualization with Tableau and strong communication.
• Ability to work in a fast-paced, stakeholder-driven environment.

Responsibilities

• Leverage analytics to identify fraud trends and opportunities.
• Own and manage fraud rules, scores, and detection strategies.
• Analyze customer and transactional data to detect emerging fraud patterns.
• Collaborate with cross-functional teams to implement mitigation strategies.
• Generate and manage regular and ad-hoc fraud reports and dashboards.
• Review MIS reports and communicate results to business units with visuals.

Skills

Analytical skills

Stakeholder management

Communication skills

Data-driven decision making

Education

Bachelor's degree in quantitative field

Engineering / MBA background

Tools

SAS

SQL

R

Python

Tableau

Job description

About Citi:

• Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Citi provides consumers, corporations, governments and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management. Our core activities are safeguarding assets, lending money, making payments and accessing the capital markets on behalf of our clients.
• Citi’s Mission and Value Proposition explains what we do and Citi Leadership Standards explain how we do it. Our mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. We strive to earn and maintain our clients’ and the public’s trust by constantly adhering to the highest ethical standards and making a positive impact on the communities we serve. Our Leadership Standards is a common set of skills and expected behaviors that illustrate how our employees should work every day to be successful and strengthens our ability to execute against our strategic priorities.
• Diversity is a key business imperative and a source of strength at Citi. We serve clients from every walk of life, every background and every origin. Our goal is to have our workforce reflect this same diversity at all levels. Citi has made it a priority to foster a culture where the best people want to work, where individuals are promoted based on merit, where we value and demand respect for others and where opportunities to develop to are widely available to all.

Job Description:

Citi is looking for an energetic, motivated professional to join its Fraud Analytics team as a Business Analytics Analyst 2.

As part of the Global Fraud Analytics team, this role manages and executes the fraud analytics and strategies supporting Citi’s North American Retail Bank business. This includes leveraging data to identify fraud trends, designing and implementing strategies to prevent and mitigate fraud attacks across the fraud lifecycle, including application and synthetic ID fraud, account takeover and sophisticated new attack schemes.

This role partners closely with Senior stakeholders, Fraud Policy, Fraud Operations and technology teams in order to determine potential and existing fraud impacts and implement the strategic interventions.

Primary responsibilities:

• Leverage analytics to identify enhancement opportunities and more granular insights that can be acted upon, while ensuring adherence to Fraud Policy.
• Ownership and management of fraud rules, scores, and detection strategies
• Analysis of customer data and transactional data to identify emerging fraud trends, develop, and improve fraud strategies
• Collaborate with cross-functional teams to provide strategy recommendations based on data and trend analysis, and implement mitigation strategies
• Generate and manage regular and ad-hoc reporting to enable effective monitoring and identification of emerging trends.
• Continually assess manual and automated processes to identify potential process gaps and opportunities.
• Analysis of customer data and transactional data to identify emerging fraud trends, develop, and improve fraud strategies
• Periodic review and development of MIS reports, dashboards and communication of fraud results internally and to the business using advanced visualization techniques.

Required Qualifications / Skills:

• Bachelor’s degree in Statistics, Economics, Finance, Mathematics or a related quantitative field
• Engineering / MBA background from a premier institute
• Minimum 3+ years of hands‑on analytical experience
• Minimum 3+ years’ experience in statistical analysis with working knowledge of: SAS / SQL (mandatory), R / Python (desired)
• Ability to work in a fast paced, dynamic, environment
• Hands on experience in data visualization tools, such as Tableau
• Analytical and problem‑solving ability to deliver projects in a fast‑paced environment
• Strong verbal and written communication skills; experience with stakeholder management
• Experience in fraud strategy/processes and/or fraud analytics is desired but not mandatory

Job Family Group:

Decision Management

Job Family:

Business Analysis

Time Type:

Full time

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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