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Skills:

Research, SAS, Matlab, English

Job type:

Full-time

• Review and develop financial and statistical modelling and analytics for a wide range of client portfolios (financial and non-financial services).
• Drive development of new methodologies and approaches.
• Analyse and interpret quantitative results to understand business impact.
• Conduct review and analysis of credit risk, Basel II capital, operational, and insurance risk models.
• Demonstrate strong communication skills, including the ability to document reports and presentations for clients.
• Demonstrate ability to apply judgment, initiative and lateral thought to problem-solving.
• Work closely with the engagement team and manager while understanding individual responsibilities and deliveries.
• Lead thought leadership groups and research and development activities as appropriate.
• Develop and maintain strong client relationships and share insights and experiences with clients.
• Support Partners in the development of the Risk Consulting team across SEA.
• Drive and develop internal initiatives to support the Risk Consulting teams across SEA and the wider consulting practice.
• Preferred skills.
• Understand the current financial regulatory landscape (Basel II/III, IFRS9, etc.).
• Quantitative skills and ability to work with large complex datasets.
• Credit risk modelling experience (PD/LGD/EAD, stress-testing, economic capital, etc.).
• Insurance modelling experience (Pricing, Reserving, IFRS17, etc.) SAS, MATLAB, SPSS, R, Python (or similar statistical analytic tool).
• University degree in a quantitative discipline (e.g. Mathematical Science, Financial Engineering, Actuarial, Statistics, etc.).
• Analytical and independent thinker with strong English written and verbal communication skills.
• Minimum years experience required.
• Minimum 10 years of relevant experience.
• Education (if blank, degree and/or field of study not specified).
• Degrees/Field of Study required: Degrees/Field of Study preferred: Bachelor DegreeCertifications (if blank, certifications not specified).
• Required Skills.
• Optional Skills.
• Desired Languages (If blank, desired languages not specified).
• Travel Requirements.
• Not Specified
• Available for Work Visa Sponsorship?.
• No
• Government Clearance Required?.
• No
• Job Posting End Date.

Experience:

No experience required

Skills:

Database Administration, Python, Analytical Thinking, Good Communication Skills, English

Job type:

Full-time

• Lead and perform end-to-end large-scaled data discovery (e.g., data acquisition, data cleansing, data modelling) together with developing effective algorithms to provide actionable insights leading to business improvement (e.g., operation improvement, value-added services, growth of revenue).
• Conduct and run data experiment to prototype new data innovation ideas, explore a variety of approaches and refine promising ideas into product ready model or new model.
• Manage (prioritize) and support requests on data analysis and data analytic assignments from business units to identify actionable insights and make recommendations for strategic decision making.
• Communicate findings and build buy-in with key stakeholders through business insights finding, data prototyping or innovation demonstration.
• Coach junior data scientists/ data analyst on technical knowledge. Maintain knowledge of data science trends and regularly share knowledge with the team.
• Collaborate with partners to scale data innovations to make business impact.
• Bachelor or Master Degree in Quantitative fields (e.g., Math, Statistics, Engineering, Statistics, Computer Science, Operational Research) or Equivalent industry experience.
• Over 2 years of professional experience in data analytics, data science or data engineering. Proven track records to leveraging data analytics/data science to create business impact.
• Having experience in data science & analytics, data visualization, data architecture, or data engineering, Programming language (Python, R or Matlab), SQL/ NoSQL, Tableau.
• Good at English language.