Highlight of the engagement opportunity

- Nature of role: Full time
- Number of years of experience expected:
- Project Manager: 8–13 years, including at least 5 years hands-on in credit risk modelling, credit analytics, credit policy, or regulatory capital.
- Project Director: 13–20 years, including at least 7 years in the above, with proven ownership of delivery, revenue, and client relationships.
- Candidates without direct credit risk modelling / analytics experience will not be shortlisted, regardless of general risk consulting pedigree.
- Areas of past experience preferred / mandatory:
- Credit risk modelling and scorecards: application, behavioural, collection, and bureau scorecards; credit rating and scoring models; PD / LGD / EAD models; scorecard development lifecycle including data preparation, WOE / IV analysis, logistic regression and machine learning models, cut-off setting, calibration, validation, monitoring, and redevelopment.
- Credit risk policy and framework: credit policy, underwriting and credit appraisal, delegation of authority, credit monitoring, early warning signals (EWS), restructuring, NPA / IRAC classification, provisioning, and write-off policy.
- Regulatory capital and Basel: credit RWA computation, Standardised and IRB (F-IRB / A-IRB) approaches, capital adequacy (CRAR), capital conservation buffer, leverage ratio, ICAAP, and stress testing.
- Portfolio analytics: vintage analysis, roll-rate and migration matrix, delinquency analysis, concentration risk, portfolio ECL, collections and recovery analytics.
- IFRS 9 / Ind AS 109: impairment model design, staging and SICR logic, ECL computation, macro-economic scenario design, and disclosures.
- Model risk management: model validation, model governance, model inventory, back-testing, benchmarking, sensitivity and outcome analysis, and ongoing monitoring.
- Regulatory frameworks: RBI guidelines on credit risk, ECL, IRAC, and provisioning; Basel III / IV; Middle East regulatory context (CBUAE, SAMA, CBB, QCB, CBO, CBK / CMA Kuwait) preferred.
- Consulting or in-house risk analytics experience with banks, NBFCs, insurers, or corporates.
- Educational qualification expected: Graduate / Postgraduate
- Additional qualifications / certifications required: None
- Preferable additional certifications: CA / FRM / Actuarial / CQF / PRM / CFA
- Preferred geography of previous work experience: India / Europe / APAC / US / Middle East
- Language requirements: Ability to write and speak fluently in English
- Application experience preferable: MS Excel, VBA, Python, R, SAS, SQL

Key responsibility areas:

A. Engagement delivery and project leadership

- Independently lead and manage consulting engagements with leading banks, financial institutions, NBFCs, insurance companies, and corporates across credit risk modelling, credit policy, regulatory capital, IFRS 9, and model risk management.
- Own end-to-end delivery: scoping, project planning, resourcing, risk identification, mitigation, stakeholder coordination, and sign-off.
- Lead client conversations on methodology, assumptions, model design, policy interpretation, regulatory expectations, and business impact.
- Drive day-to-day execution of assigned client projects and produce regular status reporting for management on progress, challenges, and key milestones.
- Manage audit, internal review, and regulator interactions related to models, credit policy, capital computation, ECL, and provisioning.

B. Credit risk modelling and scorecards
- Lead development, review, and redevelopment of credit scorecards across the customer lifecycle: application, behavioural, collection, and bureau scorecards.
- Lead development and review of credit rating and scoring models, including PD, LGD, and EAD models for retail and wholesale portfolios.
- Own the full model development lifecycle: data preparation, treatment of missing values and outliers, WOE / IV analysis, variable selection, segmentation, model building (logistic regression, decision trees, gradient boosting, and other ML techniques),



scaling, cut-off setting, and calibration.
- Define and implement model monitoring frameworks: PSI, CSI, Gini / AUC, KS, lift, vintage and stability analysis, and trigger-based redevelopment.
- Support credit strategy design, including approval / rejection / limit assignment strategies and risk-based pricing inputs.
- Produce clear, defensible model documentation and validation-ready model development reports.

C. Credit risk policy, framework, and regulatory capital
- Review, design, and draft credit risk policies covering credit appraisal, underwriting, delegation of authority, collateral management, credit monitoring, EWS, restructuring, NPA / IRAC classification, provisioning, and write-off.
- Assess policy effectiveness against regulatory requirements and internal risk appetite, and recommend enhancements.
- Lead credit RWA computation under Standardized and IRB (F-IRB / A-IRB) approaches.
- Support capital adequacy (CRAR), capital conservation buffer, leverage ratio, ICAAP, and stress testing exercises.
- Build and review stress testing and scenario analysis frameworks for credit risk, including portfolio-level impact assessment.
- Interpret and apply RBI, Basel III / IV, and Middle East regulatory expectations on credit risk, capital, and provisioning.

D. Portfolio analytics
- Lead portfolio analytics covering vintage analysis, roll-rate and migration matrix, delinquency and bucket movement, concentration risk, and portfolio ECL.
- Build collections and recovery analytics, including recovery rate modelling and prepayment behaviour analysis.
- Develop portfolio dashboards and MIS for risk committees, boards, and regulators.
- Identify emerging risk trends and recommend corrective actions at portfolio level.

E. IFRS 9 / Ind AS 109 impairment
- Lead IFRS 9 / Ind AS 109 impairment workstreams covering staging, SICR assessment, ECL computation, and enhancement of ECL and provisioning approaches.
- Design and review macro-economic scenario design, satellite models, and forward-looking overlay adjustments.
- Support IFRS 9 transition and implementation, including parallel run, impact assessment, and disclosure requirements.
- Align IFRS 9 ECL with credit policy, provisioning policy, and regulatory capital frameworks.

F. Model risk management
- Lead model validation and independent review: conceptual soundness, data quality, methodology review, back-testing, benchmarking, sensitivity analysis, and outcome analysis.
- Design and strengthen model risk management frameworks, including model governance, model inventory, model tiering, validation standards, and ongoing monitoring.
- Define model risk appetite, model risk reporting, and escalation protocols.
- Support regulatory and audit reviews on model risk management practices.

G. Practice, people, and business (Project Director emphasis)
- Lead and be responsible for team mentoring, project management, and client delivery.
- Own project revenue, margin, and resource utilization for assigned engagements.
- Generate business from existing clients and support pre-sales, proposals, and solutioning for new clients.
- Build and scale the credit risk consulting practice, including hiring, capability building, and reusable methodologies, scorecard templates, and accelerators.
- Represent Acies in client leadership forums and industry discussions on credit risk, IFRS 9, capital, and model risk.

Other important information:

- Work permit requirements: Either Indian Citizen or having valid works in India
- Period of engagement: Full time
- Probation period: 6 months
- Compensation: Compensation varies depending on the skill,



fitment and role played by the person. Compensation discussions will take place post the selection process.
- Performance incentives: Typically, all roles at Acies have a performance incentive. Specific aspects will be discussed during the compensation discussion
- Leave: 19 working days a year. Additional leaves for national holidays, sick leaves, maternity and paternity, bereavement and studies vary based on the city and country of engagement.
- Other benefits: Other employment benefits including medical insurance will be informed during the compensation discussion.
- Career growth for full-time roles: Acies believes in a transparent and data-based performance evaluation system. You are encouraged to clarify any questions you have with respect to career growth with Acies personnel you interact with during the selection process.
- Career opportunities for part-time roles: Conversion of part-time roles to full time roles depends on both performance of the individual and business needs. You are encouraged to ask about the prospects as you interact with Acies personnel during the selection process.
- Global mobility: Acies encourages mobility across our offices. Such mobility is, however, subject to business needs and regulations governing immigration and employment in various countries.

Selection process:

We seek to be transparent during the selection process. While the actual process may vary from the process indicated below, the key steps involved are as follows:

1. Technical and modelling interview: Deep-dive assessment of scorecard and rating model development, PD / LGD / EAD modelling, model validation, and credit policy experience.
2. Case study / modelling round: Practical scenario covering scorecard development, staging and ECL computation, capital computation, or model validation findings.
3. Delivery and leadership interview: Project ownership, stakeholder management, team leadership, and commercial acumen.
4. Final discussion on career and compensation: Post final selection, a separate discussion will be set up to discuss compensation and career growth.

The number of interview rounds may increase depending on the criticality and seniority of the role involved.

Preparation required:

It is recommended that you prepare on the following aspects before the selection process:

- Understanding of products and exposures in the financial services industry (Banks / NBFC / Insurance).
- Credit risk modelling concepts: PD, LGD, EAD, ECL, default rates, credit scores, recovery rates, and prepayment behaviour.
- Scorecard development lifecycle: data preparation, WOE / IV, segmentation, model building, scaling, cut-off setting, validation, and monitoring.
- Model monitoring metrics: PSI, CSI, Gini / AUC, KS, lift, vintage and stability analysis.
- Credit risk policy and framework: underwriting, credit appraisal, delegation of authority, EWS, restructuring, NPA / IRAC classification, provisioning, and write-off.
- Regulatory capital: credit RWA, Standardised and IRB approaches, CRAR, capital conservation buffer, leverage ratio, ICAAP, and stress testing.
- IFRS 9 / Ind AS 109 standard requirements, including staging, SICR assessment, forward-looking information, and disclosure requirements.
- Model validation techniques: back-testing, benchmarking, sensitivity analysis, and outcome analysis.
- Model risk management frameworks, model governance, and regulatory expectations.
- Regulatory frameworks: Basel III / IV, RBI guidelines on credit risk, ECL, and provisioning; Middle East regulatory context (CBUAE, SAMA, CBB, QCB, CBO, CBK / CMA Kuwait).
- Tools: SQL, Python, R, SAS, VBA, and advanced Excel.

For any additional queries you may have, you can send a LinkedIn InMail to us, connect with us at https://www.acies.consulting/careers-apply.html or e-mail us at [email protected].

How to reach us:

Should you wish to apply for this job, please reach out to us directly through LinkedIn or apply on our website career page - https://www.acies.consulting/careers-apply.html

📌 Project Director/ Project Manager - Credit Risk Consulting (Mumbai)
🏢 Acies
📍 Mumbai