VP, Quantitative Analytics Lead / Specialist - Portfolio Optimisation & Analytics, Corporate Treasur

Company : Dbs Bank Limited

Job Description - VP, Quantitative Analytics Lead / Specialist - Portfolio Optimisation & Analytics, Corporate Treasur

Business Function

We are seeking an experienced candidate to be part of the Analytics team within Corporate Treasury. As a member of the team, the selected candidate will be working closely with business stakeholders to develop solutions around Portfolio Management and Balance Sheet Management. This is a hybrid role that is expected to have deep technical skills in quantitative analysis, machine learning and practical experience in solving analytical problems, while also possessing knowledge of markets, systemic factors & strategies.

Responsibilities:

To research, develop, and operationalise algorithms/models to address specific business problems around the areas of Portfolio Management & Balance Sheet Management
To develop quantitative models and strategies around asset allocation & portfolio optimisation, specifically in forecasting and projections
To understand business requirements from key stakeholders and develop solutions through experimentation and in-depth study of various algorithms/ machine learning models
To leverage on Generative AI and LLMs for analysis and developing solutions
To operationalize model pipelines into re-usable libraries for the team
To automate models by leveraging on existing tools and frameworks

Requirements:

Individual with a strong interest and natural curiosity in exploring various technical domains in the areas of optimisation and machine learning.
7-10 years of experience in applied statistical learning, machine learning and data science with actual outcomes.
Experience in quantitative strategies, research & markets is strongly preferred .
In-depth knowledge and hands-on experience in generative AI, LLMs & deep learning.
Deep understanding of statistics, math and optimisation theory.
Excellent written and communication skills, especially one who can explain how machine learning models and statistical learning algorithms are applied.
A keen learner who desires to learn and acquire new knowledge both in business and technical domains, as well as to acquire proficiency in new tools, languages and techniques.
A strong team player who can contribute as an individual and drive projects.
Extremely proficient in software development, with in-depth knowledge of analytical toolkits & libraries available in Python.

Qualifications:

Master's or Ph.D in Computer Science, Statistics, Math, Engineering or other quantitative disciplines. Candidates with strong statistics & math backgrounds would be highly preferred.

Location:
DBS Asia Central

Job:
Corporate Treasury

Schedule:
Regular

Employee Status:
Full time

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VP, Quantitative Analytics Lead / Specialist - Portfolio Optimisation & Analytics, Corporate Treasur

Job Description - VP, Quantitative Analytics Lead / Specialist - Portfolio Optimisation & Analytics, Corporate Treasur

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