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Deputy Manager | Credit Risk Quant | Kolkata | Regulatory & Financial Risk
Deloitte —Kolkata, West Bengal
- System design
- Finance
- Master's degree

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Deputy Manager | Credit Risk Quant | Kolkata | Regulatory & Financial Risk
Deloitte —Kolkata, West Bengal
Desired qualifications Master’s degree or higher in Quantitative Finance, Statistics, Mathematics, Engineering, or related field.

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Deputy Manager | Credit Risk Quant | Kolkata | Regulatory & Financial Risk

Deloitte -
Kolkata, West Bengal

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Job details

Qualifications

Statistics
Statistics
SAS
R
System architecture
System design
IFRS
Finance
Master's degree
SQL
Analysis skills
Communication skills
Banking
Python

Full job description

Deputy Manager | Credit Risk Quant | Kolkata | Regulatory & Financial Risk

Job requisition ID : 106847
Location: Kolkata
Entity: Deloitte Touche Tohmatsu India LLP

The Team

Deloitte Strategy, Risk & Transaction helps entities mitigate risk while discovering new opportunities to create value. Our end-to-end risk services span all domains, from managing strategic risks in the C-Suite to improving board oversight, and from balancing financial and environmental policies to addressing cyber threats. Learn more about Risk, Regulatory & Forensic)

Your work profile

Perform independent validation of Advanced IRB / Foundation IRB models including:
PD, LGD, EAD, and CCF modelling methodologies
Rating system design and performance
RWA attribution and capital impact assessment
Assess model methodologies and assumptions for diverse wholesale product exposures including:
Corporate and SME lending (term loans, revolving credit, working capital facilities)
Project and infrastructure finance
Financial institutions & sovereign portfolios
Commercial Real Estate (CRE) and income-producing real estate
Trade finance, supply chain, and asset-based lending
Leveraged finance and private capital exposures
Evaluate model conceptual soundness, data representativeness, risk differentiation, and calibration methodology
Review and challenge:
Model segmentation, overrides, downturn calibration, and economic cycle considerations
Treatment of collateral, guarantees, credit mitigants, and default definitions
Regulatory compliance with Basel III/IV IRB requirements and regional supervisory rules
Conduct model performance testing including:
Discriminatory power, back-testing, stability monitoring, sensitivity, and benchmarking
Prepare high-quality validation documentation with clear findings, limitations, and remediation actions
Support regulatory engagements, addressing model findings, remediation evidence, and audit requests
Partner with Model Development, Credit Policy, Data Governance, and Capital Management teams to ensure models are fit-for-purpose and well-controlled

Key skills required:

Experience with Corporate lending, project finance, commercial real estate, private equity exposures
Stress testing frameworks (CCAR/ICAAP) and IRB-to-IFRS 9 model linkages
Regulatory interactions with PRA, ECB, Fed/OCC, OSFI, etc.
Ability to articulate quantitative findings to non-technical senior stakeholders
Core Competencies
Effective challenge and independent risk oversight mindset
High attention to detail and documentation discipline
Stakeholder influencing and relationship management
Ability to manage multiple validations under tight timelines
Desired qualifications
Experience in modelling or validation of Wholesale IRB capital models, IFRS9, Climate Risk Modelling experience within large banking organizations
Strong technical skills in Python, R, SAS, SQL and knowledge of credit modelling statistics
Deep knowledge of:
IRB rating system architecture and approvals
Basel III/IV capital rules for wholesale credit
Model risk governance expectations (e.g., SR 11-7)
Strong analytical judgment and written communication skills
Desired qualifications Master’s degree or higher in Quantitative Finance, Statistics, Mathematics, Engineering, or related field
4 to 6 years of experience in modelling or validation of Wholesale IRB capital models, IFRS9, Climate Risk Modelling experience within large banking organizations
Strong technical skills in Python, R, SAS, SQL and knowledge of credit modelling statistics

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Deputy Manager | Credit Risk Quant | Kolkata | Regulatory & Financial Risk

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