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cygnify

Data Scientist – AI Fintech

Singapore
Level
Mid
Work type
On-site · Singapore

Not stated in the posting: salary, visa.

Open. First seen 2 October 2026.

About the role

Role: Data Scientist - AI Fintech

Location: Singapore

We are partnering with a leading AI Fintech seeking a Data Scientist with expertise in banking models, fraud analytics, and machine learning. You will design predictive models, detect fraud patterns, and collaborate with Risk, Product, and Engineering teams to deliver data-driven solutions.

Responsibilities:

  • Build and deploy machine learning models for credit risk, payments, and fraud detection.
  • Analyze transactional data to identify fraud patterns and emerging risks.
  • Perform feature engineering, model training, validation, and monitoring.
  • Collaborate with cross-functional teams to implement models into production systems.
  • Ensure all models meet regulatory and compliance standards.

Requirements:

  • Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or related field.
  • Proven experience in data science, preferably within banking, fintech, or fraud analytics.
  • Strong proficiency in Python, SQL, and machine learning techniques.
  • Hands-on experience with NLP techniques.
  • Familiarity with Generative AI or LLMs is a plus.
  • Solid understanding of banking products, fraud schemes, and risk modeling techniques.
  • Hands-on experience with supervised and unsupervised machine learning, applied statistics, and AI methods.

#LI-RK1 #LI-Onsite

What this role asks for

Particular to this role

Generative AI · NLP

Rare in cygnify's other 33 open postings.

Standard for data science / ML roles

LLM · Machine Learning · Python · SQL

Common in data science / ML postings at any company.

Read against cygnify's other open postings on this site.

The team: Cygnify

This role is one of 34 open in Cygnify.

WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS

Python (9 of 34), Agile (8 of 34), SQL (8 of 34), AWS (6 of 34), LLM (6 of 34), Machine Learning (6 of 34), Embedded Systems (5 of 34)

OTHER ROLES ON THIS TEAM

From the team and dates on cygnify's own job board.

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