SINGAPORE MANAGEMENT UNIVERSITY

Research Engineer, SCIS

Location
Singapore
Posted
Jun 04, 2021
End of advertisement period
Jul 03, 2021
Contract Type
Fixed Term
Hours
Full Time
  • Contract
  • Manager
  • Bachelor Degree
  • Singapore | Closing On 03 Jul 2021

7-mth contract or contract till 22 Dec 2021

About Us

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together – building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities – all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

Job Description

The candidate will be responsible for developing an AI model to offload some of the work involved in conducting client onboarding and know-your-customer (KYC) reviews. Successful candidate will be part of an active research team led by Asst. Prof. Alan MEGARGEL from School of Computing and Information Systems, Singapore Management University.

Candidate’s core responsibility is to develop an AI model. Some capabilities expected from the AI model include;

  • Recommendation to prospects who match UBS typical client profile with higher-than-average chances of acquisition
  • Identification of similarities between prospect and current clients and suggesting product recommendations factoring in prospect’s preferences,
  • Disclosed investment decisions and product sales to matching client group
  • Factoring in market movements and present in-house CIO views on sector/asset class to provide context.

Qualifications

  • Minimum Bachelor degree in Computer Science, Information Technology, Information Systems or closely related disciplines
  • Deep Learning for Natural Language Processing (BERT, LSTM etc.)
  • Usage of python based libraries to clean, prepare and process large natural language datasets
  • End to end system development in Python

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