Fraud Modeling Analyst

Citigroup; Bengaluru; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

Citigroup in Bengaluru seeks a developing Analytics Analyst to monitor, assess, analyze, and evaluate processes and data. You will identify policy gaps, formulate recommendations, and support model development, validation, and testing across fraud detection.

Strong statistics, Python, Hive, and SQL skills are essential. The role emphasizes cross-functional collaboration, handling large data sets, and ensuring adherence to regulatory guidelines while driving data-driven decision making within

Qualifications

• 3+ years of hands-on analytical experience.
• 2+ years' experience in statistical analysis with working knowledge of at least one statistical software: Python, Hive, Spark, SAS.
• Strong quantitative, analytical, and problem-solving skills; knowledge of probability theory, statistics, econometrics.
• Strong understanding of statistical concepts and modelling techniques including ML algorithms.
• Strong proficiency in statistical analysis and model validation techniques (ROC, precision-recall, KS, cross-validation).
• Familiarity with regulatory requirements and guidelines related to risk model validation.
• Strong communication and interpersonal skills; stakeholder management.

Responsibilities

• Partner with Strategy partners and Model Risk Management validators across the model lifecycle.
• Responsible for model development, validation and testing of fraud detection models, including statistical analysis and data validation.
• Conduct rigorous validation assessment for fraud model validation; develop methodologies to assess accuracy and robustness.
• Ensure compliance with regulatory requirements and industry best practices in fraud detection and model validation.
• Work with large datasets to evaluate, recommend, and support business strategies.
• Identify and compile datasets using tools like Hive and SQL to predict and measure business outcomes.
• Document data requirements, collection/processing/cleaning, and exploratory data analysis.

Skills

Python

Statistical analysis

Model validation

Data visualization

Communication

Econometrics

Education

Master's or Bachelor’s degree in Statistics, Economics, Finance, Mathematics

Tools

Hive

SQL

Spark

SAS

Job description

The Spec 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

• Partner closely with Strategy partners and Model Risk Management validators across the model lifecycle including validation, ongoing performance evaluation, and annual reviews.
• Responsible for model development, validation and testing of fraud detection models, including statistical analysis, data validation and model performance evaluation.
• Conduct rigorous validation assessment for fraud model validation; develop and implement validation methodologies to assess model accuracy, robustness, and effectiveness.
• Ensure compliance with regulatory requirements and industry best practices in fraud detection and model validation.
• Incumbents work with large and complex data sets (both internal and external data) to evaluate, recommend, and support the implementation of business strategies.
• Identifies and compiles data sets using a variety of tools (e.g. Hive, SQL) to help predict, improve, and measure the success of key business to business outcomes
• Responsible for documenting data requirements, data collection / processing / cleaning, and exploratory data analysis, which may include utilizing statistical models / algorithms and data visualization technique.
• 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

• 3+ years of hands-on analytical experience
• 2+ years' experience in statistical analysis with working knowledge of at least one of the following statistical software packages: Python (Must), Hive, Spark, SAS
• Strong quantitative, analytical, and problem-solving skills; knowledge of probability theory, statistics, mathematical finance, econometrics, numerical methods
• Strong understanding of statistical concepts and modelling techniques including traditional and advanced ML algorithms
• Strong proficiency in statistical analysis and model validation techniques. A solid grasp of traditional and advanced modeling techniques and algorithms, such as Logistic Regression, Gradient Boosting, Random Forests, etc.
• Expertise in model evaluation techniques such as ROC curves, precision-recall, KS, cross-validation, feature importance, SHAP values, etc.
• Familiarity with regulatory requirements and guidelines related to risk model validation.
• Strong communication and interpersonal skills; experience with Stakeholder management
• Ability to work independently. Risk and control mindset: ability to ask incisive questions, assess materiality and elevate issues.
• Ability to handle large volumes of transactional data. Familiarity with data extraction tools like Hive will be an advantage.
• Successful candidate will have a demonstrable analytical problem solving, and the ability to deliver projects in a fast-paced environment. Willing to learn and can-do attitude.

Education

Master's/Bachelor's degree in Statistics, Economics, Finance, Mathematics or a related quantitative field; Engineering/MBA background from a premier institute

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

Specialized Analytics (Data Science/Computational Statistics)

Time Type

Full time

Citi is an equal opportunity employer, and qualified candidates will receive considerati