Model Risk Lead

Trust is the first of a new breed of banks in Singapore - digitally native and focused on delivering a delightful customer experience. You will work in a fast-paced and collaborative environment to solve new and interesting challenges each day. Together with our Trust team, you will help shape the future of our bank.

As a **Model Risk Lead** you'd be able to work on and solve many interesting challenges which we are facing, learn new ways of working, and help build delightful high quality products for our customers.

**The Role Responsibility**:

- Act as Model and Traded Risk Framework Owner (RFO), drive and oversee the development and implementation of Model and Traded risk framework, policy, standard and related governance processes from the second line of defence.
- Model risk management for the Digital Bank covering new and existing models used across the Bank in business, finance and control functions as defined in the Model Risk Policy.
- Have an in-depth understanding of the regulatory requirements and work with stakeholders to ensure compliance to these requirements.
- Quantitative assessment of model performance via statistical testing.
- Drive the model development, validation and implementation process using in-house or external parties.
- Chair Model and Traded Risk forum and provide insight for ERC and ALCO committee.
- Traded Risk management include but not limited to risk appetite and limit set up and monitoring for all Traded Risk exposures to control the risk within risk appetite.
- Act as return owner, overall manage Non-Financial Regulatory Reporting to compliance with regulatory requirement.

**Role Specific Technical Competencies**:
Skill

Target proficiency level

Statistical and Mathematical Competence

Advanced

Understanding of Retail Banking Products

Advanced

Retail Modelling Concepts

Core

Market Risk Measures Concepts

Advanced

Understanding of regulatory reporting requirement

Advanced
- Bachelor's/ Advanced (Master or higher) Degree in Statistics, Applied Mathematics, Operations Research, Economics, Engineering or other quantitative discipline.
- Good understanding of retail banking/small business/consumer finance products and business lifecycle (e.g. sales, underwriting, portfolio management, marketing, collection etc.)
- 9 years' in-depth experience in hands-on Statistical Modelling and/or model validation preferably in the retail banking space.
- Proficient in statistical computing tolls and packages like SAS/R/SQL etc.
- Strong analytical skills and understanding of quantitative and statistical techniques.
- Experience in directly interacting with Business and exposure to international markets will be a plus.
- Good understating of market risk measures, concepts and regulatory rules.
- Good knowledge of MAS regulatory guideline and regulatory reporting requirement (eg. MAS759, MAS760, MAS610 etc)

**Competencies**:

- Analytical/ Strategic/ Conceptual thinking
- Ability to multi-task between executing a project hands-on along with guiding/overseeing analysts and modellers.
- Attention to details.
- Problem solving
- Verbal/Written communication
- Presentation Skills
- Self-driven, highly motivated, organized and methodical
- Awareness and understanding of regulatory requirement.

**Come as you are** Trust is an inclusive and open-minded workplace. If you are smart and good at what you do, that's what we care about. So come as you are.

**Trust is an equal opportunity employer. We prohibit discrimination and harassment of any kind.** We are committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at Trust are based on business needs, job requirements and individual qualifications, without regard to age, gender, physical ability, race, religion or belief, family or parental status, sexuality, or any other status protected by laws or regulations. We will not tolerate discrimination or harassment based on any of these characteristics. We encourage applicants of all ages.