Data Analytics

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

**Credit Data & Analytics Lead**As a Lead- Credit Data & Analytic you will become an active member of the extended global Credit team within bp’s Trading & Shipping business. Your key focus will be to help develop quantitative models and reporting tools and you will be given an opportunity to play a key role on a challenging high profile multi-million-dollar systems roadmap. You will also be at the cutting edge of data exploration activities in order to help drive efficiencies via automated tools, provide valuable insights as well as tackle business problems using data.### **In This Role You Will:*** 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 set’s 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.* Leverage a wide variety of mathematical and computer science methods and tools including PowerBI, Python, Structured Query Language (SQL), mathematical finance/programming and statistics and probability.* Support various technology and systems initiatives, including automation, data integrity, data integration, new systems/tools.* Develop strong understanding of bp Credit Risk frameworks as well as acquire strong commercial awareness.* Maintain clear and coherent communication, both verbal and written, to understand data needs and report results. Engage with key potential stakeholders to articulate the benefits of a data-driven approach.* Remain up to date with the latest technology, techniques and methods.### **Essential Experience & Job Requirements:*** Prior experience in financial risk management in a quantitative role.* Knowledge of Probability of Default (PD) / Loss Given Default (LGD) / Exposure at Default (EAD) / PFE modelling.* Experience in any of the following software development environments: Python / VBA / SQL / PowerBI.* Effective listening skills in order to understand business requirements.* Team-working skills and a collaborative approach to sharing ideas and finding solutions.* Drive and resilience to try new ideas.* Comfort working with ambiguity, framing and solving problems in an iterative manner.* Ability to deliver effectively against BP’s values and expectations against near and long-term objectives.* Positive attitude and curious mind.* Strong academic background including at least a Bachelor's degree or equivalent in a quantitative field (Quantitative Finance, Economics, Mathematics, Engineering, or Statistics preferred).* Strong experience in Credit related models with evidence of designing, developing and implementation of such models.### **Desirable Criteria & Qualifications:*** Demonstrated ability to interpret complex business scenarios and produce accurate analysis and MI/Data solutions under pressure.* Prior exposure to energy commodity trading, credit risk/quant roles 10 years +.* Experience with using Dataiku or DataBricks platforms. **At bp, we provide the following environment and benefits to you*** A company culture where we respect our diverse and unified teams, where we are proud of our achievements and where fun and the demeanor of giving back to our environment are highly valued* Possibility to join our social communities and networks* Learning opportunities and other development opportunities to craft your career path* Life and health insurance, medical care package and many other benefits!We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform crucial job functions, and receive other benefits and privileges of employment.**Travel Requirement**No travel is expected with this role**Relocation Assistance:**This role is not eligible for relocation**Remote Type:**This position is a hybrid of office/remote working