Quantitative Risk & Credit Analytics – Associate / Senior Associate

Bengaluru, with frequent travel to the GCC | 4–8 years

About ALP

Angel Lane Partners is a computational finance, data engineering and AI/ML firm with offices in Dubai, London, Bengaluru and Riyadh. We work with banks, financial institutions and regulators across the GCC on risk, credit, treasury and regulatory analytics. We also build our own platforms for credit and risk management.

The role

You will build and validate risk models for client banks and turn that work into tools people use day to day. The role sits between our risk advisory and technology teams. You will work directly with client risk, treasury and model validation teams, and with ALP’s engineers on getting models into production.

What you will do

Model development and validation

- Develop credit risk models: PD/LGD/EAD, scorecards, rating models and master rating scales, IFRS 9 expected credit loss
- Validate models in line with regional model management requirements (CBUAE, QCB, SAMA). This covers conceptual soundness, data quality, performance testing, benchmarking and backtesting.
- Write model documentation and validation reports to the standard regulators and internal audit expect
- Contribute to market and counterparty risk work (VaR, Expected Shortfall, PFE/CVA), treasury pricing reviews and portfolio optimisation

Credit decisioning and analytics

- Design and backtest rules for automating credit decisions, and estimate their benefit to the bank
- Work with large loan-level and transaction-level datasets: extracting, cleaning and reconciling data from bank systems
- Build monitoring for models and portfolios so that issues are flagged early

Platforms and delivery

- Work with ALP’s engineering and AI teams to put models into ALP platforms and client environments




- Build working prototypes and internal tools where a full engineering build isn’t needed yet
- Apply LLM-based tools where they make the work faster or better

Client and team

- Present findings to client risk committees, validation teams and senior stakeholders
- Support proposals and scoping for new engagements
- Review the work of junior analysts and help them develop

What we are looking for

- 4–8 years in quantitative risk, credit modelling or model validation at a bank, financial institution or consulting firm
- A degree in mathematics, statistics, engineering, economics or another quantitative field
- Strong Python and SQL, with hands-on experience taking a model from data preparation through to documentation
- Working knowledge of model risk governance (SR 11-7 or equivalent)
- Ability to explain what a model shows, and where it falls short, to people who are not modellers
- Comfortable working on more than one engagement at a time to client deadlines
- Willingness to travel regularly to the UAE, Qatar and Saudi Arabia

Valuable to have

- A completed CFA or FRM
- A PhD in a quantitative field such as mathematics, statistics, econometrics, financial engineering or physics
- Market or counterparty risk experience
- Experience with GCC regulators or banks
- ML models (gradient boosting, SHAP) or LLM/agentic tools built and running in production
- Some software development experience on both back end and front end. You don’t need to be an expert; what matters is being able to:
- build a simple API or service around a model (for example FastAPI or Flask)
- work with relational databases
- put together a basic front end (for example React or Streamlit) so users can run and view results
- use Git and work alongside an engineering team
- PySpark, SAS or Teradata
- Has led a small team or worked directly with clients

📌 Quantitative Risk & Credit Analytics – Associate / Senior Associate (Bengaluru)
🏢 ALP (Computational Finance, AI and Data Engineering)
📍 Bengaluru