
SR&T Senior Consultant, Regulatory & Financial Risk: Risk Modeling (VN)
- Hà Nội
- Lâu dài
- Toàn thời gian
- Support quantitative modeling efforts in emerging and complex domains, including Credit Risk Modelling, Credit Risk Model Validation, Machine Learning and AI.
- Support data processing tasks, including data collection, data processing, data checking and data cleansing in banking and finance sector.
- Provide technical knowledge on Basel II, Basel III and IFRS 9 projects, addressing complex queries from engagement teams and clients.
- Support to design technical solutions and value-adding propositions that meet client needs and drive project success.
- Oversee training and development for junior team members.
- 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 stakeholders to set personal priorities as well as align their team's 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 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.
- Possesses a strong academic background, with at least a Bachelor's degree in a quantitative discipline (including but not limited to Quantitative Finance, Financial Engineering, Statistics, Mathematics, Actuaries, Data Science, Economics).
- A minimum of 4 years of relevant experience in a quantitative or data related role within banking or consulting.
- Proficient in statistical tools and programming languages such as SAS, Python, R, Matlab, SQL.
- Exhibits strong analytical, problem-solving, and data interpretation skills, with high attention to detail and a meticulous approach to work.
- Demonstrates excellent communication, collaboration, and adaptability abilities, with the capacity to work independently and effectively under demanding timelines.
- Proven ability to manage multiple priorities and deliver results in high-pressure environments.
- A high-performing team player with strong ethics, integrity, and a deep commitment to fulfilling the objectives of the role.
- Open to coaching and continuous development, with a proactive mindset toward growth and improvement.