3779911-Senior Executive

EXL Talent Acquisition Team; Dadri; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

EXL Talent Acquisition Team is seeking an experienced Financial Spreading Analyst to join our banking credit risk operations. You will ensure accuracy of financial data captured by AI/ML-enabled spreading platforms and translate complex statements into validated spreads for credit decisions.

The role combines accounting expertise with data extraction tools, exception handling, and process optimization to support risk assessment and reporting.

Qualifications

• 3+ years of financial spreading experience in banking or credit rating.
• Experience with automated spreading platforms (Moody's Risk Analyst, CreditLens).
• Strong knowledge of IFRS/GAAP and cross-border accounting variations.

Responsibilities

• Automated Spread Review: Validate and reconcile data from spreading systems against source statements.
• Ratio Analysis: Interpret key financial ratios and performance indicators.
• Exception Handling: Correct OCR errors and misclassifications; escalate issues for retraining.
• Complex Data Interpretation: Handle unstructured formats with reclassifications and items.
• Quality Control: Audit system spreads for compliance with policies and standards.
• Stakeholder Collaboration: Liaise with analysts and system admins for timely data delivery.
• Process & System Improvement: Provide feedback on mappings and assist in UAT.
• Training & Knowledge Sharing: Educate team on outputs and best practices.

Skills

Financial spreading

IFRS/GAAP

OCR/AI extraction

Excel skills

Attention to detail

Communication skills

Education

Bachelor’s degree in Finance/Accounting/Commerce

Tools

Moody's Risk Analyst

CreditLens

Job description

Role Overview

We are looking for an experienced Financial Spreading Analyst to join our banking credit risk operations team, specializing in automated financial statement spreading systems. This role bridges technology and analysis - ensuring the accuracy, completeness, and usability of financial data captured by AI/ML-enabled spreading platforms. The ideal candidate will combine strong accounting and credit analysis expertise with a keen understanding of automated data extraction tools, exception handling, and process optimization.

Key Responsibilities

• Automated Spread Review: Validate and reconcile financial data extracted by automated spreading systems (e.g., Moody's Risk Analyst, CreditLens or equivalent) against source financial statements.
• Ratio Analysis: Calculate and interpret key financial ratios, trends, and performance indicators to highlight strengths, weaknesses, and potential risks.
• Exception Handling: Identify and correct system misclassifications, OCR errors, and misaligned mappings; elevate recurring issues to technical teams for model retraining.
• Complex Data Interpretation: Apply judgment in handling unstructured or jurisdiction-specific financial formats, adjusting for reclassifications, non-recurring items, and sector-specific reporting nuances.
• Quality Control: Perform periodic audits of system-generated spreads to ensure compliance with internal credit policies, IFRS/GAAP standards, and regulatory requirements.
• Stakeholder Collaboration: Liaise with credit analysts, relationship managers, and system administrators to ensure timely and accurate delivery of spread data for credit decisions.
• Process & System Improvement: Provide feedback to automation teams on template refinements, data mapping logic, and AI model performance; contribute to user acceptance testing (UAT) for system upgrades.
• Training & Knowledge Sharing: Support team members in understanding automated spread outputs, exception patterns, and best practices for validation.

Qualifications & Skills

• Bachelor’s degree in Finance, Accounting, Commerce or related field; CA, CPA, CFA preferred.
• 3+ years of financial spreading experience in a banking or credit rating environment, with at least 2 years working on automated spreading platforms (e.g., Moody's Risk Analyst, CreditLens or similar).
• Strong grasp of IFRS, GAAP, industry-specific accounting nuances and cross-border accounting variations.
• Hands-on experience with OCR-based data capture, AI/ML-powered financial extraction tools, and exception handling workflows.
• Advanced Excel and data validation skills; comfort with structured/unstructured data.
• High attention to detail, with ability to work to tight SLAs.
• Effective communication skills for both business and technical audiences.