Job roles:

• Drive projects and conduct advanced analytics on related service data using more complex statistical analysis approaches and tools.
• Identify and suggest innovations for data analytics approaches to more effectively detect insights on service process & performance.
• Develop data visualization methodologies and tools to present feedback data analytics findings to management.
• Provide guidance to other stakeholders by using customer insights to support decision-making in operational functions.
• Review and identify ways to improve service data usage, data quality and data management.
• Any other duties that are required to support the team’s objectives.

What you will do:

• Work with all relevant parties/stakeholders to collate business requirement; Undertake and initiate any data analytics requests as directed by management.
• Participate in data management workgroup and committees to drive and support cluster/institution data analytics initiatives.
• Lead and support in problem analysis, opportunities identification, improvement measures definition and proposal recommendation to supervisor, workgroup and management.
• Support the curation and maintenance of data catalogue, Business Intelligence/AI projects etc. Guide and provide advice to users on the right datasets to be use.
• Review and support the users in the report enhancement.
• Plan, Design & Implement various Service Business Analyst Tools by utilizing related technology including AI/Machine Learning, to provide best in class business intelligence opportunity internally, be able to perform business both from pro-active way and re-active way.
• Secure UDIS Uptime & Retail internal awareness & competence to make best use of Business Analytic Tools.

** There is opportunity to convert this position to a permanent role.

Required Competencies / Experiences:

• At least a Bachelor's Degree in Computer Science/Information Technology or equivalent
• Fast learner with eye for details, proactive and self-motivated team player
• Flexible, open to new ideas and able to implement solutions effectively and independently
• Customer service-oriented and strong analytical mind with inclination for problem solving
• Ability to clean and analyse huge datasets using advanced data management and analytics tools (e.g. MS Excel, Power BI, SAS, Tableau, Qlik Sense etc)
• Knowledge of programming languages like SQL, Oracle, R, MATLAB, and Python is a merit
• Good analytical, problem solving and project management skills.
• Good written and presentation skills
• Able to interact and work well with people at all levels
• Knowledge of automotive aftermarket is a merit
• Good communication skills (written and oral) in English
• Fully proficient in Microsoft Office applications

Abacus Capital – Corporate Advisory - Analyst

Abacus Capital runs a Corporate Advisory practice in which the firm advises corporate clients on strategy, capital raising and M&A. The Analyst at Abacus Capital will be expected to participate in the entire lifecycle of the advisory deal process, from origination to execution.

Role and responsibilities:

• Origination, structuring and execution of M&A / Fundraising / Corporate finance deals
• Financial modeling and valuation analysis, using different methods, e.g., DCF, market comps, etc.
• Preparing pitch books, info memos and investor presentation materials for client meetings
• Due diligence & valuation analysis on corporates and assets
• Market, industry and company research and report writing, use of databases, e.g., Bloomberg, CapIQ, etc.
• Good stakeholder management, liaising with different teams, clients, and third-party advisers

Profile Of Ideal Candidate

• Bachelor’s degree in Finance and/or accounting or closely related areas of Business Administration
• Ideally more than 1 year of working experience with M&A experience (i.e. investment bank, Big 4 Corporate Finance/Transaction services) - Compensation for this position will be commensurate with the qualifications, skills, and experience of the selected candidate.
• Excellent interpersonal and communication skills
• Demonstrates problem-solving and organizational skills
• Consistently demonstrates clear and concise written and verbal communication skills
• Experienced in assisting with client development
• Analytical and numerate with basic accounting and finance knowledge
• Proficiency with Bloomberg, CapIQ, Excel, PPT and Word

Overview

Join the NUHS Group Chief Technology Office (GCTO) that advocates flexible and innovative working culture. Successful candidate will be part of a team of Data Scientists and Software Developers who partner clinicians to propose, develop, and implement advanced Artificial Intelligence / machine learning models and pipelines to augment clinical workflows in NUHS cluster. The candidate will also ensure the adequacy and effectiveness of the models and tools for NUHS.

Key Responsibilities

• Research and develop machine learning models in various clinical areas such as clinical notes, medical images, and patients’ data
• Develop, train and test AI models in the local medical domain
• Work with the team to design and architect the workflow of the data and algorithms including data input, output and storage between various health IT systems
• Lead in the gathering of requirements and data by working and coordinating with clinicians and other relevant internal and external stakeholders
• Work with the team to develop and deploy necessary AI models for NUHS in hybrid cloud environment
• Document clearly explaining how the algorithms have been implemented, verified and validated
• Lead project to deliver AI related research and development requirement to meet the business need

Requirements

• Minimum Bachelor’s degree in computer science or related fields with strong statistical modelling and machine learning skills. Graduate degree in related fields may apply
• Hands-on experience in the development of end-to-end data analytics solutions and machine learning pipeline including data exploration/extraction/crawling, data processing, and model building
• Hands-on experience on development of AI models in NLP is a plus
• Proficient with programming in Python and AI related frameworks such as Scikit-Learn, TensorFlow, and PyTorch
• Knowledge and experience in machine learning platform and services from cloud providers such as AWS, GCP, Azure
• Familiarity with healthcare data, medical image is a plus
• Experience in leading AI projects and virtual team
• Strong problem-solving skills with the ability to work independently and in a team
• Excellent written and verbal communication skills, including the ability to communicate technically and non-technically with ability to translate between the two