The successful candidate’s primary role as leader of the Credit Risk Analytics IT team will be define the strategy, architecture, manage the development and support the rollout further enhancements to the Credit Risk IT platform to meet the demands of the organisation and challenging regulatory change. The infrastructure uses a combination of technologies including MS SQL Server, C#, Python and MS Azure. The role will be focused on the development of the system using new technologies to provide innovative solutions to enhance the capabilities of the Risk Management department.

Key Responsibilities

• Authority to manage the Credit Risk Analytics IT team, across onshore, nearshore and offshore locations.
• Responsible for defining the strategic architecture and design of the international risk platform in line with the firm business objectives and regulatory obligations.
• Responsible and accountable for delivering risk project programmes. This involves servicing multiple project initiatives in tandem, liaising with project team members at all levels (Programme/Project Managers, Business users/teams, Technology teams, Analysts, Developers, Testers), managing scope, implementing target architectures and detailed planning.
• Responsible for ensuring strong transparency around delivery status, risks, and dependencies.
• Responsible for guiding technical design decisions with and acting as SME for credit risk concepts and regulatory drivers.
• Responsible and accountable for hiring strategy, performance management, and talent retention in line with corporate VP-level expectations.
• Responsible for ensuring team comply with all mandatory company activities (training courses, attendance policy, system access etc).
• Responsible and accountable for developing systems to meet satisfactory internal and external audits and manage End of Life and Security Vulnerabilities issues.
• Responsible and accountable for daily delivery of Credit Risk measures on the international platform within specified the Service Level Agreement.
• Responsible and accountable for leading, mentoring, and developing multi-disciplinary teams (credit risk developers, quantitative analysts, data engineers, business analysts).
• Responsible for building a high-performing team, focusing on technical depth, domain expertise, and leadership succession.
• Accountable for establishing a strong engineering and risk culture, including accountability, quality, and continuous improvement, including use of AI.
• Authority to represent team in global governance forums, steering committees, and risk transformation initiatives.

Work Experience

Essential:

• 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

Preferred:

• 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

Skills and Experience

Functional / Technical Competencies:

Essential

• 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 team dispersed geographically
• Should be capable of writing high quality Technical Scope documents and Test Plans
• Agentic AI development

Preferred:

• Experience of S&Ps FraimWRX Risk engine
• Practical experience of Azure Data Lake and Azure Kubenetes 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)

Personal Requirements

• Excellent communication skills, both written and verbal
• Results driven, with a strong sense of accountability
• A proactive, motivated approach.
• The ability to operate with urgency and prioritise work accordingly
• Strong decision-making skills, the ability to demonstrate sound judgement
• A structured and logical approach to work
• Strong problem-solving skills
• A creative and innovative approach to work
• Excellent interpersonal skills
• The ability to manage large workloads and tight deadlines
• Excellent attention to detail and accuracy
• Strong numerical skills

For Managerial/Senior roles

• A confident approach, with the ability to provide clear direction to your team
• Excellent managerial/leadership experience
• The ability to lead a high performing team
• A strategic approach, with the ability to lead and motivate your team
• The ability to articulate and implement the vision/strategy for the Credit Risk Analytics IT department

Additional Information

We are open to considering flexible working requests in line with organisational requirements.

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.