SR&T Consultant, Financial Risk (Credit Risk Modeler)

• Develop, maintain, and calibrate existing quantitative risk models, including provisioning models and credit scoring tailored to various portfolio types and financial institutions.
• Perform both conceptual and quantitative reviews of models, including validation, using programming scripts or automated tools.
• Provide business insights on post-model adjustments, such as management overlays.
• Research risk management topics and stay updated on recent industry developments.
• Prepare comprehensive model documentation, reports, or presentations to communicate methodologies and results to clients.
• Effectively convey observations, results, thoughts, and initiatives to client stakeholders in both Thai and English through proficient presentation during virtual and in-person meetings as needed.
• Propose innovative ideas to enhance team efficiency and effectiveness.
• Collaborate with colleagues and clients across multiple countries, primarily within Southeast Asia.
• Support partners and directors in preparing client proposals under tight deadlines.
• Mentor and onboard junior staff, ensuring the delivery of high-quality work.

• Actively seek out developmental opportunities for growth, act as strong brand ambassadors for the firm as well as share their knowledge and experience with others.
• Respect the needs of their colleagues and build up cooperative relationships.
• Understand the goals of our internal and external stakeholder to set personal priorities as well as align their teams’ work to achieve the objectives.
• Constantly challenge themselves, collaborate with others to deliver on tasks and take accountability for the results.
• Build productive relationships and communicate effectively in order to positively influence teams and other stakeholders.
• Offer insights based on a solid understanding of what makes Deloitte successful.
• Project integrity and confidence while motivating others through team collaboration as well as recognising individual strengths, differences, and contributions.
• Understand disruptive trends and promote potential opportunities for improvement.

• A degree, preferably in technical engineering, statistics, economics, mathematics, finance, accountancy, or a related field.
• Possess a minimum of 5 years of relevant work experience. A background in banking or financial institutions is preferred, but this can be supplemented with significant knowledge of the financial markets and banking industry.
• Strong knowledge of risk management, with a focus on one of the risk domains namely credit risk, market risk, operational risk and climate risk preferred.
• Ability to work independently and collaboratively with a diverse range of staff on qualitative and quantitative risk management in multitasking and cross-country settings
• Proficient in data analytics or statistical analysis tools (i.e., Python and SAS), with advanced Excel skills.
• Experience in mentoring and coaching at least 2-3 junior team members.
• Proficient in business-level English, with the ability to communicate ideas and prepare professional client presentations.