Job Description
Acuity Analytics (the trading name of Acuity Knowledge Partners) is a global, tech-first organisation helping financial institutions and corporates make better decisions through research, data, analytics and AI-enabled solutions. We combine deep financial services expertise with strong engineering, digital and AI capabilities to solve complex, real-world problems.
With a team of 7,200+ analysts, data specialists and technologists across 28 locations, we work with more than 800 organisations worldwide to drive efficiency, unlock insight and deliver measurable impact. Our success is built on the strength of our people—by investing in talent, encouraging collaboration and creating room to grow, we enable our teams to do their best work for clients.
Acuity became an independent business in 2019 following its acquisition from Moody's Corporation by Equistone Partners Europe. In 2023, funds advised by global private equity firm Permira acquired a majority stake, with Equistone remaining a minority investor—supporting our continued growth and innovation.
For more information, visit www.acuityanalytics.com
Basic information
Position Title
Senior Risk Analyst – Wholesale Credit Risk Modelling
Experience Level
3 + Years
Department
IORS
Location
Bangalore/Gurgaon/ Pune
Organizational relationships
Position reports to
Assistant Director, IORS
Job Purpose
The role sits within the Model Development team and is responsible for the development, enhancement, and documentation of Probability of Default (PD) models for wholesale credit portfolios. The individual will support both capital (IRB) and provisioning (IFRS 9 / CECL) modelling requirements, ensuring models are statistically robust, regulatory compliant, and well-documented. The role requires a strong quantitative background combined with practical programming experience in R or Python, and the ability to communicate complex technical findings to risk and senior stakeholders.
Key responsibilities
- Develop and maintain PD models for wholesale credit portfolios, including model design, variable selection, estimation, calibration, and segmentation, in accordance with internal model development standards and regulatory requirements (e.g. IRB, IFRS 9).
- Support capital and provisioning workflows by ensuring PD model outputs are fit for purpose across both regulatory capital (Basel IRB) and expected credit loss (ECL) provisioning frameworks.
- Prepare comprehensive model documentation covering conceptual design, data sources, methodology, assumptions, limitations, code, and results — ensuring reproducibility, transparency, and readiness for model validation and regulatory review.
- Conduct ongoing model performance monitoring, including back-testing, benchmarking, and sensitivity analyses to assess model stability and predictive accuracy over time.
- Perform statistical analyses and ad hoc investigations to support model redevelopment cycles, edge case testing, and the resolution of model findings raised during validation or audit.
- Organise and maintain supporting evidence for model development decisions, data transformations, and assumption rationale, facilitating future reviews, audits, and regulatory examinations.
- Communicate model development outputs through formal technical reports and presentations to model validators, model owners, the Risk Committee, and senior management.
- Support the model risk governance process, including contributing to model inventory maintenance, model certification submissions, and policy compliance activities.
Key competencies
- Deep technical expertise in credit risk modelling, with hands-on experience developing PD models for wholesale exposures (e.g. corporates, financial institutions, sovereigns, or commercial real estate) under IRB and/or IFRS 9 / CECL frameworks.
- Strong quantitative modelling skills, including logistic regression, survival analysis, scorecard development, through-the-cycle (TTC) and point-in-time (PIT) calibration, and rating system design.
- Solid understanding of regulatory capital and provisioning requirements, including Basel III/IV IRB guidelines and IFRS 9 expected credit loss methodology.
- Proficiency in R as the primary development language, with well-structured, reproducible, and version-controlled code; candidates with strong Python skills and a willingness to adopt R will also be considered. Familiarity with SQL and SAS is advantageous.
- Experience in model development within Credit Risk; exposure to model validation or governance processes is beneficial and will aid in producing validation-ready deliverables.
- Master's degree in Mathematics, Statistics, Data Science, Quantitative Finance, or a related quantitative field.
- Attainment of, or progress toward, at least one of the following: a graduate degree in a quantitative or business discipline, FRM or PRM certification, or CFA charter.
- Ability to work rigorously from regulatory and business specifications while independently scoping and driving analytical solutions.
- Strong communication and stakeholder management skills, with the ability to translate complex modelling concepts into clear findings for non-technical audiences.
- Collaborative mindset with the ability to work effectively across model validation, risk management, technology, and finance teams throughout the model lifecycle.
Acuity Analytics has earned several prestigious industry recognitions, including Great Place to Work® certifications in India and Costa Rica, AVTAR Best Companies for Women in India, the AVTAR Most Inclusive Companies Index, and Silver accreditation in the Workplace Equality Index. These accolades reflect our commitment to building an inclusive, supportive and high-performance workplace for our people. Learn more here.
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