GoTymeX
Scorecard Developer (ML)
- Location
- Bengaluru
- Work mode
- Hybrid
- Experience
- 2–4 yrs exp
- Pay
- ₹12–20 LPA (Est.)
- Type
- Full-time job, AI & ML
- Added
- 14 November 2026
About this role
GoTymeX is hiring a Scorecard Developer to build and maintain credit scoring models that support approval and risk decisions across products and markets. The posting is titled Bengaluru and marked hybrid and full-time, though its reporting section lists Mumbai as the location. Daily work involves engineering features from bureau, application, transaction and repayment data, tuning machine learning models, and calibrating scores to observed bad rates. The role also includes monitoring drift and score stability, supporting cut-off and limit strategy analysis, and documenting work for review and audit. It reports to the Credit Risk Modelling Lead and suits people with 2–4 years of credit risk modelling experience.
GoTymeX is hiring for Scorecard Developer (ML), a full-time role based in Bengaluru (hybrid).
Who can apply: 2–4 yrs exp. Skills: SQL, Python, R, Machine learning, Feature engineering, Credit risk modelling.
Hirastra checked that this opening is live. Apply directly through the official posting; applying is always free.
What you'll do
- Develop and maintain application and behavioural scoring solutions for credit decisioning
- Engineer, test and document features from bureau, application, transactional and repayment data
- Tune ML models with disciplined hyperparameter optimisation and validation
- Produce PD/score calibrations to observed bad rates and support cut-off and limit analysis
- Monitor feature drift, score distribution shifts and performance by segment and vintage
- Work with engineering and decisioning teams on production specs and maintain audit-ready documentation
What you need
- 2–4 years in credit scoring, risk modelling or decisioning analytics at a lender, bank, bureau or fintech
- Strong SQL plus Python or R
- Practical experience with ensemble methods, feature selection, hyperparameter tuning and cross-validation
- Experience calibrating model outputs into business-ready risk measures
- Ability to write implementation-ready specifications and work with engineering stakeholders
Skills
- SQL
- Python
- R
- Machine learning
- Feature engineering
- Credit risk modelling
"Est." = Hirastra's estimate based on market data, not an official figure.
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