Junior Data Scientist

BRIGHT POINT CAPITAL PTE. LTD.; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A collective investment fund in Singapore is seeking a motivated Junior Data Scientist to join the research team. This role emphasizes data processing, quantitative analysis, and backtesting for trading strategies. The ideal candidate will have a strong background in Python, machine learning, and data visualization, contributing to key projects that enhance trading effectiveness. Comprehensive benefits including medical coverage and on-site fitness facilities are offered.

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 a relevant quantitative field is required.
• Strong Python skills are essential, including familiarity with data libraries.
• Good understanding of machine learning concepts and techniques.

Responsibilities

• Process and clean large financial datasets.
• Perform ad-hoc analysis to support trading decisions.
• Conduct backtesting and performance attribution for strategies.
• Create visualizations to communicate research findings.

Skills

Python programming

Data visualization

Machine learning

Statistical analysis

Data wrangling

Education

Bachelor's or Master's in Computer Science, Statistics, Mathematics, Engineering

Tools

NumPy

Pandas

scikit-learn

PyTorch

TensorFlow

Matplotlib

Plotly

Seaborn

Job description

Theme International Trading is a Singapore collective investment fund, managed by a regulated fund management company. We constantly seek motivated individuals with an entrepreneurial mindset to join our trading desks.

Role Overview

We are seeking a motivated and technically strong Junior Data Scientist to join our research team. This role involves both research and implementation, with a strong emphasis on data processing,ad-hoc analysis, and backtesting for trading ideas. You will also work closely with senior quants and portfolio managers to apply machine learning and deep learning techniques in the development and enhancement of trading strategies.

Key Responsibilities

• Process, clean, and transform large, multi-source financial datasets.
• Perform ad-hoc quantitative analysis to support trading, research, and portfolio management decisions.
• Conduct rigorous backtesting and performance attribution for new and existing strategies.
• Create clear and insightful visualizations to communicate research findings, model results, and strategy performance.
• Assist in feature engineering, model selection, hyperparameter tuning, and validation processes.
• Collaborate with senior researchers to design, implement, and optimize ML / DL models for trading signal generation.
• Document research processes, experiment results, and strategy performance metrics.

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.
• Good knowledge of data wrangling, cleaning, and transformation for financial datasets.
• Understanding of basic trading concepts, market microstructure, or portfolio construction is an advantage.
• Strong analytical, problem-solving, and communication skills.

Benefits

• Comprehensive Medical Coverage - Inclusive of general practitioner, specialist consultations, hospitalisation, and dental care.
• Daily Lunch Provided - Fresh, nutritious lunches served in the office.
• On-site Fitness Facilities - Access to an in-house gym and shower facilities.
• Well-Stocked Pantry - Breakfast supplies, snacks, and beverages, plus appliances such as a stove, steam oven, and coffee machine for all to enjoy.
• Ergonomic Workstations - Adjustable desks, ergonomic chairs, and multi-monitor setups for optimal comfort and productivity.
• Cutting-Edge Hardware - Work with the latest high-performance GPUs and CPUs to support advanced research, large-scale backtesting, and deep learning workloads.

How to Apply

Interested applicants, please submit your CV and cover letter directly to [e-mail]

Only shortlisted candidates will be notified.