Assistant Manager/ Manager - Financial Risk (Quantitative Risk/ Modeler)

• Credit management process, including qualitative review on policies and procedures.
• Risk management model development, maintenance, and validation including PD/LGD models, credit risk rating and scoring models by using statistical methodologies and tools such as SAS, Python, SQL queries
• Occasionally support our audit team to review quantitative models (especially PD/LGD models) developed differently for multiple industries such as banking, securities, consumer finance, personal finance, leasing, manufacturing, or conglomerates and provide essential comments on observations and findings to the client.
• Deliver qualitative and quantitative technical advices to the client.
• Market risk governance, including financial instrument (both plain vanilla and derivative) valuation
• Treasury management policies and procedures review
• Financial services regulatory and compliance services.
• Leverage technical capability to develop computational tools either for in-house uses or client services according to business requirements.
• Conduct quantitative analysis in the area of credit/market risk using either traditional approaches or advanced analytical processes such as machine learning.
• Business development initiatives.

• Develop diverse, high-performing people and teams through new and meaningful development opportunities.
• Collaborate effectively to build productive relationships and networks.
• Understand and lead the execution of key objectives and priorities for internal as well as external stakeholders.
• Align your team to key objectives as well as set clear priorities and direction.
• Make informed decisions that positively impact the sustainable financial performance and enhance the quality of outcomes.
• Influence stakeholders, teams, and individuals positively – leading by example and providing equal opportunities for our people to grow, develop and succeed.
• Lead with integrity and make a strong positive impact by energising others, valuing individual differences, recognising contributions, and inspiring self-belief.
• Deliver superior value and high-quality results to stakeholders while driving high performance from people across Deloitte.
• Apply their understanding of disruptive trends and competitor activity to recommend changes, in line with leading practices.

• Bachelor's degree or higher in a relevant discipline (e.g., data sciences, financial engineering, technical statistics, economics, mathematics, or accounting) from an approved college or university.
• Minimum of 7-12 years of experience in related to above services, Credit Risk Model (Development/Validation), Credit Scoring, Scorecard, Data Scientist, IFRS 9, Machine Learning, Data Engineer, Data Analyst, and Big Data Analytics, preferably from a professional service business or financial service industry.
• Proven track record of driving business development initiatives, including proposal preparation, pitching, and client onboarding.
• Demonstrates strong client service abilities, effective communication, and teamwork. Proficiency in English (spoken and written) and Thai.
• Have managed teams with at least 3 members.
• For males, a Certificate of Military Exemption is required.