Loss Forecasting & Credit Strategy Analyst (Credit Card)

About Us:

KadelLabs is a leading IT services company delivering top-quality technology solutions since 2017, focused on enhancing business operations and productivity through tailored, scalable, and future-ready solutions. With deep domain expertise and a commitment to innovation, we help businesses stay ahead of technological trends. As a CMMI Level 3 and ISO 27001:2022 certified company, we ensure best-in-class process maturity and information security, enabling organizations to achieve their digital transformation goals with confidence and efficiency.

Job Title:

Loss Forecasting & Credit Strategy Analyst (Credit Card)

Experience:

5- 10 Years

Location:

Jaipur, Udaipur, Bhopal & Bangalore

About the Role

We are looking for an experienced

Loss Forecasting & Credit Strategy Analyst

to support loss forecasting, reserve analytics, and credit strategy development for a

US credit card portfolio

. The ideal candidate will combine strong analytical and technical skills with a solid understanding of credit risk and card portfolio dynamics.

Key Responsibilities

Build and maintain

loss forecasting models

using roll-rate, vintage, and CECL-aligned methodologies.

Develop

baseline and stress-scenario forecasts

and analyze forecast vs. actual variances.

Develop and evaluate credit strategies across

line management, authorization, and collections

.

Assess the

P&L, credit risk, and loss impact

of proposed strategies.

Apply

AI/ML techniques

to improve forecasting accuracy and scenario analysis.

Translate analytical insights into actionable

credit strategy recommendations

for senior stakeholders.

Collaborate with business, risk, finance, and technology teams.

Required Skills & Experience

510 years

of experience in Credit Risk, Loss Forecasting, Credit Strategy, or related analytics roles.

Hands-on experience with

US credit card portfolios on the issuing side

US bank, card issuer, fintech, or GCC/captive supporting a US card business.

Strong proficiency in

Python and SQL

for forecasting, data analysis, and scenario modelling.

Working knowledge of

CECL, stress testing, and reserve concepts

; CCAR/DFAST exposure is an advantage.

Experience applying

AI/ML

to forecasting, credit risk, or analytics is preferred.

Strong

Advanced Excel

skills, including pivot tables, complex formulas, dashboards, and management reporting.

Excellent communication skills with the ability to work with

US-based stakeholders

and provide US business-hour overlap when required.

Visit us:

[hidden] .