3780016-Assistant Manager

EXL Talent Acquisition Team; Gurugram District; On-site; INR 900,000 - 1,400,000; Full time

Job summary

EXL Talent Acquisition Team seeks an experienced Financial Spreading Analyst to join our banking credit risk operations. The role focuses on automated spreading platforms, ensuring accuracy, completeness, and usability of financial data extracted by AI/ML tools.

Candidate should have 3+ years in financial spreading, IFRS/GAAP knowledge, and strong Excel skills. You will collaborate with analysts, relationship managers, and system admins to deliver high-quality spreads for credit decisions.

Qualifications

• Bachelor’s degree in Finance, Accounting, or related field.
• 3+ years in financial spreading in banking or credit rating.
• Experience with automated spreading platforms (Moody’s Risk Analyst, CreditLens).
• Strong IFRS/GAAP knowledge and cross-border accounting.
• Proficient in OCR-based data capture and AI/ML extraction.
• Advanced Excel and data validation skills.
• Ability to meet tight SLAs and communicate with business/technical teams.

Responsibilities

• Automated Spread Review: validate data from spreading systems.
• Ratio Analysis: compute financial ratios and trends.
• Exception Handling: correct OCR misclassifications and mappings.
• Complex Data Interpretation: handle unstructured formats.
• Quality Control: audit system spreads for compliance.
• Stakeholder Collaboration: liaise with analysts and system admins.
• Process & System Improvement: provide feedback to automation teams.
• Training & Knowledge Sharing: support team on outputs and patterns.

Skills

Financial analysis

IFRS/GAAP

OCR data capture

Advanced Excel

AI/ML tools

Stakeholder comms

Attention to detail

Education

Bachelor's in Finance/Accounting

CA/CPA/CFA preferred

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; escape 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.