Luxoft

Credit Risk Business Analyst - PFE

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Credit Risk Business Analyst - PFE, offering a contract length of "X months" at a pay rate of "$X per hour." It requires strong quantitative skills, experience with PFE models, SQL, .NET, and familiarity with vendor risk engines.
🌎 - Country
United Kingdom
πŸ’± - Currency
Β£ GBP
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
November 21, 2025
πŸ•’ - Duration
Unknown
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🏝️ - Location
Unknown
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#.Net #Project Management #Python #SQL (Structured Query Language) #Microsoft Power BI #Monitoring #UAT (User Acceptance Testing) #VBA (Visual Basic for Applications) #SAS #Business Analysis #BI (Business Intelligence) #Compliance
Role description
Join Luxoft to support the delivery of the client’s Potential Future Exposure (PFE) adoption, ensuring compliance with PRA/ECB regulatory requirements and alignment with methodologies used across Bank and Securities. This role sits within the Business Analyst team, focusing on risk technology projects. Key Responsibilities: β€’ Drive delivery of Credit Risk Enhancement initiatives from a technology perspective. β€’ Perform detailed technical analysis and design for infrastructure updates related to Credit Risk. β€’ Document user requirements and validate pricing/simulation models using Markit FRA. β€’ Map trade and market data from trade systems to FraimWRX format. β€’ Collaborate with business teams to define solutions for EOD/intraday credit risk monitoring. β€’ Partner with technology project management and vendors to define schedules and validate updates. β€’ Define testing methodologies and execute tests for new product development. β€’ Ensure smooth handover of new processes to production teams and remediate issues. β€’ Build strong relationships across technology risk, risk analytics, market and credit risk management, and front office teams. Skills: β€’ Strong quantitative background with experience in counterparty credit risk and PFE models. β€’ Hands-on experience with vendor risk engines (e.g., IHS Markit FRA/FraimWRX, Murex, or similar). β€’ Proficiency in SQL, .NET, Excel VBA; exposure to Python or SAS preferred. β€’ Familiarity with Power BI and Control-M. β€’ Strong business analysis skills and full project lifecycle knowledge. β€’ Experience in defining test plans and guiding UAT phases. β€’ Strong experience within IB in credit risk domains, including PFE solutions for IR, FX, and Loan products. Nice-to-Have: β€’ Prior experience with FraimWRX and/or Murex.