Quantitative Credit Actuary (Python)

Location: Bangalore, Karnataka, India; hybrid work model with an expectation of being in the office at least three days per week

Company

hirify.global provides reinsurance, insurance, and insurance-based risk transfer solutions across Property & Casualty and Life & Health.

What you will do

• Support pricing and modelling for individual deals, single risks, and portfolio transactions, providing actuarial pricing opinions to underwriters and portfolio owners.
• Develop, enhance, maintain, and deploy analytical and simulation-based models for Credit & Surety risks.
• Build production-ready Python applications, model pipelines, testing frameworks, packages, automated workflows, and deployment processes.
• Apply credit risk modelling expertise to develop and calibrate assumptions, methodologies, and parameters including PD, LGD, and EAD.
• Translate stakeholder requirements into prototypes, user stories, acceptance criteria, and prioritised development backlogs while collaborating with full-stack developers.
• Validate deployed models, assess accuracy and stability, and contribute to portfolio studies, loss trend analyses, and profitability assessments.

Requirements

• At least 4 years of experience in quantitative model development, statistical risk modelling, pricing or risk analytics, or a related field.
• Strong knowledge of credit risk concepts and modelling techniques, including PD, LGD, EAD, portfolio risk, loss distributions, and model calibration.
• Advanced hands-on Python proficiency, including robust production-ready applications, model pipelines, testing frameworks, packages, and automated workflows.
• A quantitative Master's degree in Computational Finance, Financial Engineering, Statistics, Applied Mathematics, Actuarial Science, or a related discipline.
• Strong written and verbal communication skills, including presenting complex findings through concise presentations, reports, and visualisations.

Nice to have

• Familiarity with Java or C++, particularly for performance-sensitive modelling components or system integration.
• Experience with credit portfolio modelling, pricing models, capital models, stress testing, or portfolio risk analytics.
• Knowledge of model governance, validation, deployment, and production monitoring practices.
• Experience collaborating with business stakeholders, developers, and technical specialists across multidisciplinary teams.
• Progress toward CFA, FRM, CQF, IFoA, IAI, or similar professional qualifications.

Culture & Benefits

• Collaborative and intellectually curious Actuarial Portfolio Management, Credit & Surety team.
• Work closely with Underwriting, Reserving, Claims, Finance, portfolio owners, and technical specialists.
• Inclusive workplace focused on equal opportunities, fresh perspectives, and innovative thinking.
• Flexible hybrid work environment with support for professional development.