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About the Role

The Credit Risk Analytics IT team is responsible for designing, integrating, and supporting Middle Office Risk systems using the third-party S&P Global Financial Risk Analytics (FRA) simulation and pricing engine. This role will lead the team in defining strategy, architecture, managing development, and supporting the rollout of enhancements to the Credit Risk IT platform to meet organizational demands and regulatory changes.

Responsibilities

Manage the Credit Risk Analytics IT team across onshore, nearshore, and offshore locations.
Define the strategic architecture and design of the international risk platform.
Deliver risk project programmes, managing scope, implementing target architectures, and detailed planning.
Ensure transparency around delivery status, risks, and dependencies.
Guide technical design decisions and act as SME for credit risk concepts and regulatory drivers.
Oversee hiring strategy, performance management, and talent retention.
Ensure team compliance with mandatory company activities.
Develop systems to meet satisfactory internal and external audits and manage End of Life and Security Vulnerabilities.
Ensure daily delivery of Credit Risk measures within the specified Service Level Agreement.
Lead, mentor, and develop multi-disciplinary teams.
Build a high-performing team focusing on technical depth, domain expertise, and leadership succession.
Establish a strong engineering and risk culture, including accountability, quality, and continuous improvement, with use of AI.
Represent the team in global governance forums, steering committees, and risk transformation initiatives.

Requirements

Experience leading and implementing PFE analytic solutions preferably in cloud computing environments with a good understanding of .NET tech stack and distributed programming concepts for a financial organization or third-party vendor.
Experience leading and implementing Market Risk (VAR, Stress, FRTB) engines for a financial organization or third-party vendor.
Experience with S&P Global Financial Risk Analytics (FRA) Risk/Pricing platform.
Strong understanding of Counterparty Collateral, Netting & Market Data in Credit Risk pricing.
Solid understanding and hands-on pricing of Derivatives, Mortgage-Backed Securities, Repos, Stock Borrow Lending and Agency lending (ALDOP).
Strong C#, .Net Core Web API and SQL development experience.
Experience working on large scale applications (Front to Back), Feeds capture, Processing, Pricing and Reporting.
Stakeholder management.
Vendor management.
Resource planning and budgeting.
Project planning.
Practical experience of TeamCity, Jira, SVN, GitHub, Visual Studio, Powershell.
Strong understanding of the underlying mechanics of Securities products such as Bonds and Equities.
Experience managing teams dispersed geographically.
Capability to write high-quality Technical Scope documents and Test Plans.
Agentic AI development.
Experience of S&Ps FraimWRX Risk engine.
Practical experience of Azure Data Lake and Azure Kubernetes Service.
Good understanding of microservices and messaging architectures.
Reconciliation skills of Credit Risk exposures between PFE Risk Engine and Reporting Systems.
Experience of Control-M batch scheduling system (or similar).
Excellent communication skills, both written and verbal.
Results driven, with a strong sense of accountability.
A proactive, motivated approach.
Ability to operate with urgency and prioritize work accordingly.
Strong decision-making skills and sound judgment.
A structured and logical approach to work.
Strong problem-solving skills.
A creative and innovative approach to work.
Excellent interpersonal skills.
Ability to manage large workloads and tight deadlines.
Excellent attention to detail and accuracy.
Strong numerical skills.
Confident approach with the ability to provide clear direction to your team.
Excellent managerial/leadership experience.
Ability to lead a high-performing team.
A strategic approach with the ability to lead and motivate your team.
Ability to articulate and implement the vision/strategy for the Credit Risk Analytics IT department.

Skills

.NET tech stack
Distributed programming concepts
PFE analytic solutions
Market Risk (VAR, Stress, FRTB) engines
S&P Global Financial Risk Analytics (FRA) Risk/Pricing platform
Counterparty Collateral
Netting
Market Data in Credit Risk pricing
Derivatives pricing
Mortgage-Backed Securities pricing
Repos pricing
Stock Borrow Lending pricing
Agency lending (ALDOP) pricing
C#
.Net Core Web API
SQL development
Large scale application development (Front to Back)
Feeds capture
Processing
Pricing
Reporting
TeamCity
Jira
SVN
GitHub
Visual Studio
Powershell
Securities products mechanics (Bonds, Equities)
Agentic AI development
S&Ps FraimWRX Risk engine
Azure Data Lake
Azure Kubernetes Service
Microservices architectures
Messaging architectures
Credit Risk exposure reconciliation
Control-M batch scheduling
AI

Location

London

Work Type

Flexible working

Experience Level

Managerial
Senior

About the Company

Mitsubishi UFJ Financial Group (MUFG) is one of the world’s leading financial groups.
Headquartered in Tokyo with approximately 350 years of history, MUFG has a global network with 1,100 offices in over 40 countries.
The Group has over 140,000 employees, offering services including corporate banking, commercial banking, retail banking, wealth management, investment banking, capital markets, personal and corporate trust, and transaction banking.
MUFG Securities EMEA plc is the European hub of MUFG’s securities business.
Headquartered in London, MUFG Securities EMEA plc has just over 600 employees and is active throughout the international capital markets, focusing on debt, equity, derivatives and structured products.
The ETP – Risk Technology Department provides a full IT service to the Market Risk and Credit Risk areas of the MUS overseas subsidiary companies.

Equal Opportunity

MUFG is committed to embracing diversity and building an inclusive culture where all employees are valued, respected and their opinions count.
We support the principles of equality, diversity and inclusion in recruitment and employment, and oppose all forms of discrimination on the grounds of age, sex, gender, sexual orientation, disability, pregnancy and maternity, race, gender reassignment, religion or belief and marriage or civil partnership.
We make our recruitment decisions in a non-discriminatory manner in accordance with our commitment to identifying the right skills for the right role and our obligations under the law.