{bc}
Apply
linkedin

Lead Data Scientist (Credit & Lending)

oryxsearch.io
Dubai, UAE
Full-time
Mid-Senior
Onsite
Discovered 2 weeks ago
Credit risk modellingFintech lendingProbability of defaultLGD, EAD and expected loss modellingAlternative data analysisWOE/IV binning
Free

Job Fit Check

Base Career helps you apply smarter for this job.

?%
Ready to Scan

Key skills for this role

Credit risk modellingFintech lendingProbability of default
Smart Apply

Full Job Posting

About the Company

The company is building next-generation products at the intersection of AI, data and financial services.

Its intelligent infrastructure uses data and machine learning to improve financial decision-making.

The Role

The role focuses on credit decisioning and risk modelling for fintech lending or digital financial services.

The position owns the development and productionisation of sophisticated credit-risk models.

The role is highly hands-on and serves as a technical authority for credit-risk modelling.

Responsibilities

  • Build and deploy probability-of-default, LGD, EAD and expected-loss models.
  • Explore behavioural, web and other alternative data signals.
  • Develop scorecards using WOE/IV binning, monotonic constraints and reason codes.
  • Manage model training, validation, deployment, monitoring and model drift review.
  • Establish champion/challenger validation, leakage detection and model documentation.
  • Partner with product, engineering and risk stakeholders on model decisions.

Must-Have Requirements

  • Strong fintech lending or digital lending background.
  • Production experience building and deploying credit-decisioning models, particularly probability of default.
  • Experience with alternative data and non-traditional signals.
  • Strong scorecard expertise, including WOE/IV, binning, monotonic constraints and reason codes.
  • Strong tabular machine-learning experience with XGBoost, LightGBM, CatBoost, logistic regression and tree ensembles.
  • Deep model validation, calibration and hyperparameter-tuning knowledge.
  • Cloud-based production deployment experience.
  • Advanced Python with pandas and scikit-learn.
  • Experience identifying data and target leakage in real-world datasets.
  • Ability to communicate and defend models to senior risk stakeholders.

Why Join

  • The company is tackling complex financial problems through AI, machine learning and advanced data science.
  • The role offers close collaboration with senior technical leadership and significant ownership of credit-risk modelling capabilities.

Apply for this job in 1 click

Skip the repetitive application forms

Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.

Sarah M.James T.Maya R.

Trusted by over 500,000 job seekers on Base Career

Start Free Today

More from this employer

More jobs at oryxsearch.io

Principal Evals Engineer - AI & Agentic Systems

Abu Dhabi, UAE

Discovered YesterdayFull-time

Principal Forward Deployed Engineer - AI & Agentic Systems

Abu Dhabi, UAE

Discovered YesterdayFull-time

Infrastructure Architect (Azure)

Abu Dhabi, UAE

Discovered 2 days agoFull-time

AI Engineer / Forward Deployed Engineer

Abu Dhabi, UAE

Discovered 1 weeks agoFull-time

Lead Applied AI Engineer (Research & Development)

, UAE

Discovered 2 weeks agoFull-time

Lead Python Engineer (AI Automation)

Abu Dhabi, UAE

Discovered 2 weeks agoFull-time

Lead Python Engineer (AI Automation)

, UAE

Discovered 4 weeks agoFull-time