Implementation Analyst

Citi; Maharashtra; Presencial; INR 900.000 - 1.300.000; Jornada completa

Descripción de la vacante

Citi in India is seeking a Business Analytics Analyst to monitor, analyse and interpret data, identify policy gaps and offer data-driven recommendations. You will work with SAS, SQL and Python on fraud-related data to enhance decision making and risk management.

The role emphasizes collaboration with cross-functional teams, adherence to audit requirements, and the development of fraud rules and strategies in production and testing environments.

Formación

• 2–5 years of experience with SAS, SQL and Python; some fraud domain exposure.
• Strong written and verbal communication; able to work with cross-functional partners.
• Bachelor's degree or equivalent in a relevant field.

Responsabilidades

• Knowledge of system and user functionalities of fraud orchestration engines (Actimise, SAS Fraud Manager).
• Understand fraud risk management and digital fraud concepts.
• Implement fraud rules and machine learning model updates with audit compliance.
• Read and adjust logic (SQL) and ensure 100% execution accuracy.
• Develop rules and strategies on fraud tools and deploy in test/prod environments.
• Collaborate with teammates to validate rule performance, trends and volumes.
• Hands-on SAS/SQL/Python; knowledge of fraud domain and cards & payments a plus.
• Gathers data from cross-functional stakeholders to assess past performance.
• Identify data patterns and insights to inform planning and process improvements.
• Suggest actions for future developments and policy enhancements.

Conocimientos

SAS

SQL

Python

Fraud domain knowledge

Educación

Bachelor's degree

Descripción del empleo

The Business Analytics Analyst is a developing professional role. Applies specialty area knowledge in monitoring, assessing, analyzing and/or evaluating processes and data. Identifies policy gaps and formulates policies. Interprets data and makes recommendations. Researches and interprets factual information. Identifies inconsistencies in data or results, defines business issues and formulates recommendations on policies, procedures or practices. Integrates established disciplinary knowledge within own specialty area with basic understanding of related industry practices. Good understanding of how the team interacts with others in accomplishing the objectives of the area. Develops working knowledge of industry practices and standards. Limited but direct impact on the business through the quality of the tasks/services provided. Impact of the job holder is restricted to own team.

Responsibilities

• knowledge of system & user functionalities of various fraud orchestration engines such as Actimise (RCM/Actone) , SAS Fraud Manager
• Good to have Business knowledge on Financial crime risk management and Digital fraud.
• Ensure seamless implementation of fraud rule & various Traditional and Machine Learning models adds, deletes, and edits ensuring all procedures and audit requirements are followed.
• Associate will be required to understand the logic (often in SQL) being adjusted and why the change is being made. Ensuring 100% execution accuracy.
• Developing rules/Fraud Strategies on Fraud tool (SAS FM/Actimise) and Promoting the same on Prod and Prod test environment.
• Collaborate with fraud strategy development teammates to provide feedback and performing validation on rule performance, trends and volumes.
• Hands on working on SAS/SQl/Python and knowledge of Fraud domain and Cards& Payment is a plus
• 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

• 2-5 years relevant experience in SAS, SQL, Python and have some understanding on Fraud domain
• Good communication skills (both verbal and written) and ability to work with cross-functional partners and team members

Education

• Bachelors/University degree or equivalent experience

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

Job Family Group

Decision Management

Job Family

Business Analysis

Time Type

Full time

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