Credit Risk Analyst (12 months contract)

PERSOLKELLY SINGAPORE PTE. LTD.; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A financial services company in Singapore is seeking a Data Analyst for its Traded Credit Risk Methods team. The role involves analyzing credit exposures and improving processes through data analytics and programming. Candidates should have a Bachelor’s or Master’s Degree in a relevant field and experience in financial markets. This position offers the opportunity to collaborate with various teams to enhance credit risk measurement and reporting.

Qualifications

• Working experience in traded products and/or counterparty credit risk preferred.
• Strong desire to learn and develop skills.

Responsibilities

• Conduct User-Acceptance Testing for exposure quantification methodologies.
• Perform Haircut and Initial Margin computation.
• Analyze methodology deficiencies and exposure profile changes.
• Develop Business Intelligence tools for credit exposure reporting.
• Improve processes through automation and data analytics.
• Prepare reports on internal credit exposures.

Skills

Data analysis

Programming (VBA, Python, R, C#)

Financial market knowledge

Effective communication skills

Education

Bachelor’s/Master’s Degree in Business/Data Analytics/Finance/Quantitative Finance

Tools

Excel

Bloomberg

Qlik

Tableau

Job description

Job Description

This role reports to the team head within the broader Traded Credit Risk Methods (TCRM) team.

TCRM is responsible for establishing and maintaining a robust measurement and reporting process for counterparty credit risk across internal, regulatory, and customer credit risks. The scope covers credit exposure from traded products arising from Investment Bank, Private Bank, and Consumer businesses within the company.

TCRM collaborates widely with other functions such as Sales & Trading, Credit, Finance, Legal, Technology, and Operations to ensure accurate and timely measurement of counterparty credit risk in the company, to achieve win-win outcomes and sustainable returns as a bank.

Responsibilities

• User-Acceptance Testing of changes in system implementation of exposure quantification methodologies and related enhancements.


• Haircut and Initial Margin computation for various products.


• Reporting, investigation, and analysis in multiple contexts e.g., measurement of methodology deficiencies in system, exposure profile change analysis, model performance monitoring, etc.


• Enhancement or creation of Business Intelligence / analytics tools for measurement, analysis, and reporting of credit exposures.


• Process / workflow improvement, automation, and data analytics via Excel, VBA, Bloomberg, Qlik, etc.


• Preparation of reports / presentations on material relating to internal credit exposure and related topics.

Requirements

• Bachelor’s/Master’s Degree in Business / Data Analytics / Finance / Quantitative Finance.


• Working experience ideally in an area covering traded products and/or counterparty credit risk.


• Knowledge of financial markets and products including derivatives.


• Possess effective oral and written communication skills with a strong desire to learn.


• Skilled in data analysis and programming e.g., VBA, Python, R, C#, Qlik, Tableau.

Interested candidates may apply through the application system. We regret to inform only Shortlisted candidates will be notified.

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PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394 • EA Registration No. R1877971 (Derrick Tiew Yong Han)