Quantitative Credit Actuary

Crossell; Bengaluru; On-site; INR 2,500,000 - 4,200,000; Full time

Job summary

Swiss Re is seeking a Quantitative Credit Actuary to shape pricing, modelling and costing for the Credit & Surety portfolio. You will own quantitative pricing tools, work with full-stack developers, and translate analyses into actionable business decisions.

With 3+ years in quantitative analysis, you will apply PD/LGD/EAD concepts, build robust simulations, and collaborate across underwriting, finance and claims. A hybrid office-based role offers strong growth and impact.

Qualifications

• Minimum 3+ years of experience in quantitative analysis and statistical modelling.
• Strong knowledge of PD, LGD, EAD, portfolio risk and model calibration.
• Proficiency in R or Python and ability to translate analysis into communications.
• Ability to communicate recommendations to diverse audiences.

Responsibilities

• Develop an independent view on pricing and loss adequacy through rigorous data analysis of the in-force Credit & Surety portfolio.
• Contribute to portfolio studies, loss trend analyses and profitability assessments.
• Translate profitability findings into corrective actions on costing models and parameters.
• Support the pricing and modelling of individual deals, single risks and portfolio transactions.
• Conduct forward-looking sector and credit market analyses to support long-term initiatives.
• Apply credit risk modelling to development and calibration of EAD, LGD and PD.
• Drive enhancements to costing models and parameter settings.
• Evaluate model accuracy, communicate implications to stakeholders.
• Partner with underwriting, reserving, finance and other key functions to view risk and performance.

Skills

Credit risk modelling

Pricing models

R/Python programming

Data analysis & visualization

Tools

R

Python

Job description

About the Role

As a Quantitative Credit Actuary within our Actuarial Portfolio Management, Credit & Surety team, you will be at the heart of how Swiss Re prices, models and steers its Credit & Surety portfolio. This is a role where your analytical expertise will have a direct and visible impact — from shaping individual deal decisions to influencing long-term portfolio strategy.

You will combine actuarial judgement, deep credit risk knowledge and hands-on quantitative model development to build, enhance and deploy analytical and simulation-based pricing and costing models. As a product owner for existing costing tools, you will collaborate closely with full-stack developers across the full delivery lifecycle — from requirements discovery and prototyping through to user-story definition, release validation and production adoption.

Key Responsibilities

• Develop an independent view on pricing and loss adequacy through rigorous data analysis of the in-force Credit & Surety portfolio, ensuring insights are grounded in evidence and actuarial best practice
• Contribute to portfolio studies, loss trend analyses and profitability assessments that actively support portfolio steering and business performance
• Translate profitability findings into corrective actions on costing models and parameters, ensuring models remain accurate, current and fit for purpose
• Support the pricing and modelling of individual deals, single risks and portfolio transactions, providing independent actuarial pricing opinions to underwriters and portfolio owners
• Conduct forward-looking sector and credit market analyses and feasibility studies to support long-term strategic initiatives
• Apply credit risk modelling expertise to the development and calibration of assumptions, methodologies and parameters — including EAD, LGD and PD
• Drive enhancements to costing models and parameter settings aligned with Swiss Re standards and evolving business needs
• Evaluate model accuracy, stability, uncertainty and limitations, and communicate implications clearly to both technical and non-technical stakeholders
• Partner with Underwriting, Reserving, Claims, Finance and other key functions to build a comprehensive, integrated view of risk and performance across the portfolio

About the Team

The Actuarial Portfolio Management Credit & Surety (APM C&S) team is a friendly, collaborative group that always puts the client at the center of everything we do. We partner with portfolio owners to provide the framework for sound portfolio steering and deliver insights that drive profitability. Our work is grounded in data-driven outcomes — we are constantly finding new ways to solve complex challenges through quantitative models and data transformation.

The team reports directly to the Head of Underwriting Excellence, Corporate Solutions, giving us strong visibility and influence across the business. Whether you are working on a cutting-edge pricing model or presenting findings to senior leaders, you will always know that your contributions matter.

About You

You are a curious, collaborative and delivery-oriented professional who brings both technical depth and strong communication skills to everything you do. You can explain complex quantitative and credit risk concepts clearly to technical and non-technical audiences alike, and you are comfortable presenting findings and recommendations to senior stakeholders. You balance analytical rigor with commercial judgement and understand how quantitative work connects to real business decisions. You thrive in multidisciplinary, multicultural environments and are recognized by colleagues as open, dependable and impactful.

We are looking for candidates who meet these requirements:

• Minimum 3+ years of experience in quantitative analysis and statistical modelling, with a strong preference for experience in credit risk modelling or pricing models for credit insurance
• Strong knowledge of credit risk concepts and modelling techniques, including PD, LGD, EAD, portfolio risk, loss distributions and model calibration
• Quantitative programming skills in R, Python or equivalent, with the ability to translate analytical work into effective, high-impact visualizations and communications
• Strong numerical and analytical skills, with a foundation in statistical or econometric modelling techniques and/or data science methods
• Ability to derive and communicate recommendations clearly and confidently to a range of audiences — from technical peers to senior business leaders

These are additional nice to haves:

• Understanding of global macroeconomics and financial markets, with experience and knowledge of credit-related products
• 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
• Progress toward relevant professional qualifications such as CFA, FRM, CQF, IFoA, IAI or equivalent

About Swiss Re

Swiss Re is one of the world's leading providers of reinsurance, insurance and other forms of insurance-based risk transfer. We anticipate and manage risks, from natural catastrophes and climate change to cybercrime. We make the world more resilient.

At Swiss Re, we are committed to building a workplace that is diverse, equitable and inclusive. We welcome applications from people of all backgrounds, experiences and perspectives.

Our company has a hybrid work model where the expectation is that you will be in the office at least three days per week

About Swiss Re

Swiss Re is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. We cover both Property & Casualty and Life & Health. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 15,000 employees across the world.
Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability.
If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience.

We may use AI-powered tools to support the review and evaluation of applications for this position. These tools provide additional insights to our recruitment teams, but all hiring decisions are carefully reviewed and made by people. To learn more about how we use AI in recruitment and how we handle your personal data, please review our Data Privacy Statement before applying.

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