Junior Data Scientist – Trading ML & Backtesting

BRIGHT POINT CAPITAL PTE. LTD. -; Singapore; On-site; SGD 50,000 - 70,000; Full time

Job summary

A leading investment fund company in Singapore is seeking a motivated Junior Data Scientist to join its research team. This role focuses on data processing, ad-hoc analysis, and backtesting to develop trading strategies using machine learning techniques. The ideal candidate holds a degree in a quantitative field and possesses strong Python skills, along with the ability to work with large financial datasets. The company offers comprehensive medical coverage, daily lunches, and access to fitness facilities.

Benefits

Comprehensive Medical Coverage

Daily Lunch Provided

On-site Fitness Facilities

Well-Stocked Pantry

Ergonomic Workstations

Cutting-Edge Hardware

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
• Strong Python programming skills (NumPy, pandas, scikit-learn, PyTorch/TensorFlow).
• Proficiency in data visualization tools and libraries (Matplotlib, Plotly, Seaborn, or equivalent).
• Solid understanding of machine learning concepts; familiarity with deep learning architectures preferred.
• Experience with time-series analysis and backtesting frameworks is a plus.

Responsibilities

• Process, clean, and transform large, multi-source financial datasets.
• Perform ad-hoc quantitative analysis to support trading and research decisions.
• Conduct rigorous backtesting and performance attribution for strategies.
• Create clear and insightful visualizations to communicate findings.

Skills

Python programming

Data visualization

Machine learning concepts

Analytical skills

Education

Bachelor's or Master's degree in a relevant field

Tools

NumPy

pandas

scikit-learn

PyTorch

TensorFlow

Job description

A leading investment fund company in Singapore is seeking a motivated Junior Data Scientist to join its research team. This role focuses on data processing, ad-hoc analysis, and backtesting to develop trading strategies using machine learning techniques. The ideal candidate holds a degree in a quantitative field and possesses strong Python skills, along with the ability to work with large financial datasets. The company offers comprehensive medical coverage, daily lunches, and access to fitness facilities.