Analyst - Credit & Fraud Operations

bluCognition; India; On-site; INR 550,000 - 1,000,000; Full time

Job summary

bluCognition, an AI-powered credit intelligence company, seeks an Analyst – Credit & Fraud Operations to support the Risk team in day-to-day credit application processing. You will analyze bank statements, reconcile data, and ensure applications meet eligibility criteria.

You should have 2+ years in Credit Operations, strong bank-statement analysis and high attention to detail. You will collaborate with Risk to investigate discrepancies, maintain records and meet SLA targets in a fast-paced

Qualifications

• Must have 2+ years of experience in Credit Operations, Credit Analysis, Risk Operations, or a similar financial services environment.
• Strong working knowledge of bank statement analysis, financial data reconciliation, and review of financial transactions, revenue, and cash flow.
• Excellent analytical and attention-to-detail skills, with the ability to identify discrepancies and data quality issues.

Responsibilities

• Utilize and follow defined SOPs and internal credit tooling to ensure minimum approval criteria is met.
• Follow SOPs, risk guidelines, and internal credit systems to complete application reviews and ensure required eligibility and documentation criteria are met.
• Perform manual analysis of customer bank statements, including reviewing and compiling key financial information such as total credits, debits, balances, transaction activity, and revenue indicators.
• Reconcile financial information across bank statements, application data, and other supporting data sources to identify inconsistencies, gaps, or anomalies and ensure data accuracy.
• Review customer and business information to validate key attributes, including industry classification, banking connectivity, business details, and other required criteria as part of the credit operations process.
• Work closely with Risk and other internal stakeholders to investigate discrepancies, clarify application information, and ensure applications are processed accurately and within defined turnaround times.
• Respond promptly to internal stakeholder queries regarding application status, documentation requirements, processing updates, and other credit operations-related matters.
• Maintain accurate and timely application records, risk data, and daily reporting, ensuring all required information is updated in internal systems and trackers.
• Identify opportunities to improve process efficiency, data quality, and operational accuracy, while consistently meeting defined productivity, quality, and SLA expectations.

Skills

Bank statement analysis

Financial data reconciliation

Attention to detail

Analytical skills

Education

Bachelor’s degree in Finance, Accounting, Economics, Business Administration, or a related field

Job description

bluCognition is an AI-powered commercial credit intelligence company serving lenders and financial institutions. Our platform combines commercial credit data contributed by 150+ lenders with AI-driven analytics, banking data and fraud detection to help our clients make faster, better credit decisions. Our product suite includes bluSense, which converts bank statements into standardized, categorized transaction data with real-time financial insights, and FraudLens, which detects document tampering and first-party fraud. Alongside our data products, we run a managed services business supporting underwriting, fraud review, and KYC/KYB and sanctions screening operations for our clients, with teams across North America, Asia and Europe.

About the Role

As a Analyst – Credit & Fraud Operations, you will work within the Risk team to support the day-to-day assessment and processing of new customer applications. The role involves performing manual credit operations activities, analyzing financial information and bank statements, reconciling data across multiple sources, and ensuring applications meet established eligibility and quality criteria. The ideal candidate should be detail-oriented, comfortable working with financial data, and able to operate effectively in a fast-paced environment.

Key Responsibilities

Utilize and follow defined standard operating procedures alongside internal credit tooling and systems to ensure minimum approval criteria is met.

Follow established standard operating procedures (SOPs), risk guidelines, and internal credit systems to complete application reviews and ensure required eligibility and documentation criteria are met.

Perform manual analysis of customer bank statements, including reviewing and compiling key financial information such as total credits, debits, balances, transaction activity, and revenue indicators.

Reconcile financial information across bank statements, application data, and other supporting data sources to identify inconsistencies, gaps, or anomalies and ensure data accuracy.

Review customer and business information to validate key attributes, including industry classification, banking connectivity, business details, and other required criteria as part of the credit operations process.

Work closely with Risk and other internal stakeholders to investigate discrepancies, clarify application information, and ensure applications are processed accurately and within defined turnaround times.

Respond promptly to internal stakeholder queries regarding application status, documentation requirements, processing updates, and other credit operations-related matters.

Maintain accurate and timely application records, risk data, and daily reporting, ensuring all required information is updated in internal systems and trackers.

Identify opportunities to improve process efficiency, data quality, and operational accuracy, while consistently meeting defined productivity, quality, and SLA expectations.

What we are looking for

2+ years of experience in Credit Operations, Credit Analysis, Risk Operations, or a similar financial services environment, with exposure to credit application processing or new credit product assessment.

Strong working knowledge of bank statement analysis, financial data reconciliation, and review of financial transactions, revenue, and cash flow.

Strong analytical and attention-to-detail skills, with the ability to identify discrepancies, inconsistencies, and data quality issues.

Educational Qualifications

Bachelor’s degree in Finance, Accounting, Economics, Business Administration, or a related field.

Additional certifications or coursework in Credit, Risk, Finance, or Banking would be an advantage.