Job Description

:Job Title: Senior Analytics Consultant Banking (Risk/Fraud/Marketing Analytics)
Location: Bangalore/Gurgaon (WFO)
Job Type: Full-TimeRole Overview:
We are looking for a Senior Analytics Consultant with over 5 years of experience in banking analytics, specifically in areas such as credit risk modeling, fraud detection, or marketing analytics. This is a client-facing role where youll lead analytics engagements, design and implement advanced models, and translate data insights into strategic recommendations for banking clients.Key Responsibilities:

• Lead and manage analytics projects in the banking sector with a focus on credit risk (e.g., scorecards, PD/LGD/EAD models), fraud analytics (e.g., real-time detection, anomaly detection), or marketing analytics (e.g., customer segmentation, CLTV, campaign targeting).
• Collaborate with clients to define business problems, develop analytic frameworks, and deliver actionable solutions.
• Build and validate statistical and machine learning models using Python, R, or SAS.
• Translate complex analytical findings into clear, business-friendly presentations and reports.
• Guide junior team members and contribute to knowledge sharing within the firm.
• Ensure compliance with regulatory standards (e.g., Basel II/III, CCAR, AML) in risk and fraud modeling.

• Bachelors or Masters degree in Statistics, Economics, Mathematics, Computer Science, or a related quantitative discipline.
• 5+ years of hands-on experience in banking analytics with a focus on one or more of the following: credit risk, fraud detection, or marketing.
• Proficiency in SQL and at least one analytical programming language (Python, R, or SAS).
• Strong understanding of statistical modeling techniques and machine learning algorithms.
• Experience working with large datasets and conducting data wrangling, feature engineering, and validation.
• Excellent communication and presentation skills, especially in client-facing settings.
• Strong understanding of the banking regulatory environment.

• Prior experience in a consulting or professional services environment.
• Familiarity with cloud-based analytics platforms (e.g., AWS, Azure) and big data tools (e.g., Hive, Spark).
• Experience with regulatory model validation or governance frameworks.
• Exposure to digital banking data sources and real-time analytics.

• High-impact projects with top banking institutions.
• A collaborative and intellectually curious team culture.
• Clear paths for career growth and leadership.
• Competitive compensation

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