Data Analyst and Scientist

CFI Financial Group; Selangor; On-site; MYR 80,000 - 110,000; Full time

Job summary

An innovative trading firm in Selangor is seeking a highly motivated Data Analyst & Scientist. In this role, you will leverage data to optimize user journeys and guide data-driven decision making. The ideal candidate has expert-level proficiency in machine learning algorithms, strong skills in Python and SQL, and a collaborative mindset. Competitive salaries and growth opportunities are offered.

Benefits

Competitive salaries and benefits

Unlimited opportunities for growth

Supportive environment

Qualifications

• Expert-level proficiency in classification, regression, and clustering algorithms.
• Hands-on experience with machine learning libraries.
• Proficiency in Python and SQL.

Responsibilities

• Develop and improve machine learning models.
• Analyze large datasets to extract insights.
• Collaborate with cross-functional teams.

Skills

Machine learning algorithms

Python

SQL

Data preprocessing

Data analysis

Education

Bachelor's or master's degree in computer science or related field

Tools

TensorFlow

PyTorch

Databricks

LangChain

Job description

Who are we?

CFI Financial Group is an award-winning trading provider, possessing more than 25 years of experience with multiple offices around the world including London, Larnaca, Beirut, Amman, Dubai, Kuwait, Port Louis, and others.

Check out more about CFI here.

CFI is hiring! Make your mark in the online trading industry.

Are you looking to pursue a career in finance? Do you want to work with a dynamic and growing team in the exciting world of online trading and investing? If you answered yes, then we have some amazing opportunities for you!

Description:

We are seeking a highly motivated Data Analyst & Scientist to join CFI Team. In this role, you will leverage data to optimize our user journeys from lead generation to trading and guide our team towards data-driven decision making.

Main tasks and responsibilities

• Develop and improve “traditional” machine learning models (examples classification, regression, and clustering models).
• Contribute to building AI agents and applications using large language models (LLMs).
• Work with Retrieval-Augmented Generation (RAG) systems and tools like LangChain.
• Support the implementation of data pipelines and ML workflows within Databricks.
• Collaborate with cross-functional teams including data engineering, product, and
• business stakeholders.
• Assist in monitoring model performance.
• Analyze large datasets to extract actionable insights, validate hypotheses, and support business decision-making.
• Develop scripts and utilities for data preprocessing, feature engineering, and model
• evaluation.
• Help integrate models with APIs and financial data sources.
• Follow best practices in coding, testing, and documentation.
• Participate in model and code reviews, ensuring quality and adherence to team
• standards.
• Stay current on advancements in AI, LLMs, and data science to propose and evaluate new approaches.
• Foster a collaborative environment that encourages innovation and knowledge sharing.

Education and Experience

• Expert-level proficiency in classification, regression, boosting, and clustering algorithms including working with ML libraries (like TensorFlow, PyTorch, Scikit-learn, Keras)
• Familiarity with LLMs and AI agent frameworks (e.g., LangChain)
• Hands-on experience in RAG systems
• Hands-on experience of model communication protocols (MCP) and integration patterns
• Experience with Databricks or similar ML platforms
• Basic understanding of MLOps and deploying models into production
• Proficiency in Python and SQL; knowledge of ETL/ELT processes
• Good communication skills and ability to work in a team
• Bachelor’s or master’s degree in computer science, Data Science, or related field
• Familiarity with real-time data processing and streaming architectures
• Bonus: experience in fintech, financial markets, or working with financial APIs

Why join CFI?

· We’re a fast-growing, multinational company

· Competitive salaries and benefits

· Work and learn with industry professions

· Supportive and collaborative environment

· Unlimited opportunities for growth and development