The posting
Do you want your voice heard and your actions to count?
Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), one of the world’s leading financial groups. Across the globe, we’re 150,000 colleagues, striving to make a difference for every client, organization, and community we serve. We stand for our values, building long-term relationships, serving society, and fostering shared and sustainable growth for a better world.
With a vision to be the world’s most trusted financial group, it’s part of our culture to put people first, listen to new and diverse ideas and collaborate toward greater innovation, speed and agility. This means investing in talent, technologies, and tools that empower you to own your career.
Join MUFG, where being inspired is expected and making a meaningful impact is rewarded.
What you'll do:
As Vice President or Assistant Vice President in Market Risk and Model Risk, you will play a pivotal role in safeguarding the financial stability of the organisation through rigorous model validation and robust governance practices. Your day-to-day responsibilities will involve collaborating with various teams across Asia to implement best-in-class model risk management procedures. You will engage deeply with derivatives pricing models—validating them independently—and oversee the model governance framework that ensures compliance with regulatory standards. By preparing comprehensive risk reports and providing insightful analysis on trading and treasury portfolios, you will help inform key business decisions. Your involvement in technical projects such as PFE simulations or market data acquisition will further strengthen the bank’s risk infrastructure. Success in this role requires not only strong analytical capabilities but also excellent communication skills as you interact with auditors, regulators, committee members, and colleagues from different regions.
- Perform independent validation of derivatives pricing models across interest rates, foreign exchange, and risk-related models such as market risk and IRRBB, producing detailed validation reports for each assessment.
- Implement model governance practices throughout Asia by managing model inventory, application processes, risk appetite metrics, tiering management, model performance monitoring, reporting, and committee meeting preparation.
- Collaborate closely with Head Office teams on model risk matters while liaising with front office model developers to ensure thorough documentation of model development processes.
- Coordinate with outsourced model validation teams to review their validation work
- Review new model applications and provide comprehensive assessments for new products across Singapore and regional branches.
- Support regional branches in all aspects related to model risk
- Liaise with internal / external auditors and regulators by providing necessary information/ analysis.
- Prepare daily, monthly, and periodic risk reports while delivering insightful PnL and risk analysis for trading and treasury portfolios within the bank.
- Assist in preparing materials for ALM/MRM Committee meetings in Singapore, offering market risk commentary that informs strategic decision-making.
- Monitor risk limit excesses proactively by investigating breaches and reporting findings to relevant stakeholders for prompt resolution.
- Participate in projects such as Potential Future Exposure (PFE) simulation/calibration/backtesting/stress testing as well as market data acquisition initiatives using Python-based tools.
- Contribute to the development and maintenance of technical EUC tools including IRRBB calculation modules to enhance operational efficiency.
What you bring:
- Degree in financial engineering, mathematics, physics, statistics, quantitative finance or other quantitative fields provides a solid foundation for this role.
- For AVP level: At least three years’ experience in derivatives model validation/quants/counterparty credit risk is essential
- For VP level: at least five years’ experience in derivatives model validation/quants/counterparty credit risk is essential
- Proficiency in stochastic processes combined with deep understanding of derivatives pricing enables effective model assessment.
- Advanced numerical programming skills including Python, Matlab or C++ are necessary for technical project participation.
- Experience using Python for data analysis along with Power Query, Tableau, Excel (with VBA) supports efficient report generation and tool maintenance.
- Demonstrated initiative coupled with strong inter-personal skills allows you to work efficiently both within a team setting and independently when required.
- Excellent verbal and written communication skills facilitate clear interaction with colleagues across Singapore and regional branches.
What sets this company apart:
This global financial institution is renowned for its commitment to nurturing talent through supportive leadership and inclusive practices. Employees benefit from flexible working opportunities that accommodate personal needs alongside generous pension contributions which secure long-term financial well-being. The organisation invests heavily in training programmes so you can continually expand your skillset while advancing your career. With a culture rooted in collaboration and respect for individual perspectives, every team member’s contribution is valued—making it an ideal environment for those who thrive on shared success. The company’s dedication to responsible banking ensures that your work has real impact not only within the organisation but also across the wider community.
What's next:
If you are ready to take your expertise in market risk management to the next level within a collaborative environment that values your growth—apply now!
Apply today by clicking on the link provided.
Mitsubishi UFJ Financial Group (MUFG) is an equal opportunity employer. We view our employees as our key assets as they are fundamental to our long-term growth and success. MUFG is committed to hiring based on merit and organsational fit, regardless of race, religion or gender.
