Credit Data & Analytics Lead — Hybrid/Remote

BP PLC; Kuala Lumpur; Hybrid; MYR 180,000 - 320,000; Full time

Benefits offered by this job

Life and health insurance

Learning opportunities

Social communities and networks

Job summary

BP plc is seeking a Credit Data & Analytics Lead to develop quantitative models and reporting tools for the global Credit team within Trading & Shipping. You will build and maintain credit data assets, create insights, and support risk management with data-driven solutions.

The role emphasizes modeling (PD/LGD/EAD, PFE, CVA), data automation, and the use of PowerBI, Python, and SQL to deliver reports to senior leadership and regulators. A hybrid work model is supported.

Qualifications

• Prior experience in financial risk management in a quantitative role.

Responsibilities

• Credit Model design, development, testing, calibration and maintenance including PFE, Stress Testing, Default Probabilities, LGD Frameworks plus Credit pricing models, scoring models, CVA and Credit VaR.
• Manage, optimize and maintain ownership of core credit data, analysing large data sets and producing reports for senior management to show trends, risk concentrations and broader portfolio risks.
• Analyze, visualize and articulate insights from portfolio level metrics and data to key stakeholders.
• Build algorithms and design experiments to merge, manage, interrogate and extract data to supply tailored reports to Credit function, bp Senior Leadership Team, the wider organisation, auditors and regulators.
• Develop Credit MI, metrics, dashboards and decision tools in order to gain accurate and timely insight into bp’s Credit Risk drivers.

Tools

Python

SQL

PowerBI

Job description

BP plc is seeking a Credit Data & Analytics Lead to develop quantitative models and reporting tools for the global Credit team within Trading & Shipping. You will build and maintain credit data assets, create insights, and support risk management with data-driven solutions.

The role emphasizes modeling (PD/LGD/EAD, PFE, CVA), data automation, and the use of PowerBI, Python, and SQL to deliver reports to senior leadership and regulators. A hybrid work model is supported.