Advanced Data Scientist

2 weeks ago

Singapore beBeeDataScientist Full time $240,000 - $270,000

Job Summary:

We are seeking a Data Scientist to join our team. As a key member of Enterprise AI, you will engage with users to develop and deploy Portfolio and Econometrics capabilities and applications for business units. Your goal will be to deliver impactful outcomes by leveraging data science driven strategic planning, scenario analysis, forecasting, and optimized portfolio shaping in a holistic, optimal, timely, systematic, and explainable manner.

Main Responsibilities:

  1. Collaborate with data scientists, data engineers, technology and business/support units to evaluate, solution, and deliver P&E driven business use cases.
  2. Develop and successfully execute plans aligned with strategic project and business objectives.
  3. Develop performant P&E capabilities through thoughtful research and experimentation.
  4. Develop and deploy P&E applications with agile prototyping.
  5. Integrate P&E capabilities and applications into the bank's ecosystem.
  6. Stay abreast of fast emerging AI SOTA technological advancements, industry best practices, architecture, software resources, and paradigms.
  7. Engage and manage stakeholder interactions and expectations.
  8. Provide deep expertise and advisory on P&E to diverse stakeholders.
  9. Contribute to P&E related benchmarking exercises.

Requirements:

  • Minimum postgraduate degree in Statistics, Mathematics, Engineering, Computer Science, or a related field, with ability to reason quantitatively from first principles.
  • Achieved consistent success in framing rigorous and data-driven approaches to solve highly complex business use cases or academic problems.
  • Minimum 5 years of advanced data science working or research experience, preferably in banking/financial services/quant/consulting industry.
  • Self-motivated team player, able to ideate innovative solutions and work independently.
  • Highly skilled and successful in end-to-end Portfolio Optimization or Econometrics deployment, with 1.5 years full-time experience. Demonstrable achievements are a must.
  • Strong and demonstrable expertise and experience in Deep Learning are musts.
  • Demonstrable expertise and experience in adjacent topics such as Reinforcement Learning, Causal Inferencing, Probabilistic Bayesian, advanced Econometric Modelling are highly preferred.
  • Passion and some expertise and experience in GenAI such as LLM, Multimodal are highly preferred.
  • Python programming and large data handling abilities.
  • Highly skilled with common data science packages such as Pytorch and Market Optimization/Forecasting related packages.
  • Experienced in general end-to-end data science solution delivery and assorted tools.
  • Ability to communicate analytic findings clearly and convincingly to business.
  • Skillful in agile project management practices.
  • Experience with data visualization packages and/or tools are a plus.

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