VP Data Scientist, Global Markets - AI & Analytics Lead

DBS Bank Ltd; Oklahoma City (OK); On-site; USD 90,000 - 130,000; Full time

Job summary

DBS Bank Ltd. seeks a data analytics and AI specialist to develop AI, data analytics, and automation solutions supporting trading desks for better trade idea generation and execution.

You will address day-to-day trader pain points and create analytics to monitor, review, and report on financial products. Responsibilities include training predictive models, leveraging LLMs for trading, building data pipelines, and delivering dashboards using Tableau and SQL across Python, Spark, and S3

Qualifications

• Degree in analytics or related field; 2–5 years in data/analytics roles.
• Ability to understand and implement AI and AI models; strong Python or related packages.

Responsibilities

• Train and implement predictive and machine learning models for trading, sales, and COO initiatives.
• Work with Large Language Models for Generative AI applicable to trading.
• Set up agentic solutions for trading and sales initiatives.
• Collaborate with business/ops to build high-performance analytics solutions using Python, Cloudera, Dify, Spark, S3, SQL and Tableau.
• Perform exploratory data analysis and visualize results clearly.
• Develop data ingestion pipelines and analytic data assets.
• Enhance data collection for analytic systems; ensure data integrity.

Skills

Python

Data analysis

Machine learning

Big data

SQL

Tableau

LLMs / Generative AI

Communication

Education

Bachelor's/Master's/PhD in analytics or related field

Tools

Cloudera

Dify

Spark

S3

Tableau

SQL

Job description

DBS Bank Ltd. seeks a data analytics and AI specialist to develop AI, data analytics, and automation solutions supporting trading desks for better trade idea generation and execution.

You will address day-to-day trader pain points and create analytics to monitor, review, and report on financial products. Responsibilities include training predictive models, leveraging LLMs for trading, building data pipelines, and delivering dashboards using Tableau and SQL across Python, Spark, and S3