Python & Data Engineer

2 weeks ago

Singapore TECH AALTO PTE. LTD. Full time $80,000 - $120,000 per year

Job Title: Python / Data Engineer – Quantitative Investment Support

Location: Onsite – Singapore

Employment Type: Contract

Experience Required: 4–8 years

About the Role

We are looking for a highly skilled Python/Data Engineer with strong experience in data manipulation, statistics, and machine learning models to support our Quantitative Investment team . The ideal candidate should be comfortable working with dataframes, DuckDB (or similar technologies) , and have a good foundation in quantitative analysis. This role involves building, maintaining, and optimizing data pipelines and providing analytical support for investment research.

Key Responsibilities

  • Build, optimize, and maintain data pipelines and workflows for quantitative investment strategies.
  • Perform data manipulation, cleaning, and transformation using Python (Pandas, Polars, DuckDB).
  • Work closely with quantitative researchers and investment professionals to provide high-quality datasets and analytical tools.
  • Support the development and validation of statistical and ML models for investment decision-making.
  • Ensure data quality, accuracy, and reliability across multiple data sources.
  • Collaborate with stakeholders to translate investment requirements into technical solutions .
  • Automate data extraction, feature engineering, and reporting tasks to improve research efficiency.
  • Contribute to performance monitoring and backtesting frameworks for quantitative models.

Required Skills & Qualifications

  • Bachelor's/Master's \degree in Computer Science, Data Science, Statistics, Mathematics, \or related field .
  • 4–8 years of hands-on experience in Python programming with strong knowledge of dataframes (Pandas/Polars) and DuckDB/SQL .
  • Strong understanding of statistics, probability, and ML models (regression, classification, time series).
  • Experience working with financial datasets and supporting quantitative research is preferred.
  • Familiarity with data visualization libraries (Matplotlib, Seaborn, Plotly).
  • Good understanding of data structures, algorithms, and performance optimization .
  • Strong problem-solving and analytical skills.
  • Exposure to quantitative finance, portfolio optimization, or risk modeling .
  • Experience with cloud platforms (AWS/Azure/GCP) for data engineering.
  • Familiarity with big data technologies (Spark, Dask, PyArrow).
  • Knowledge of backtesting frameworks and financial modeling tools .
  • Experience in DevOps/CI-CD for data workflows .
  • Ability to work in a fast-paced, research-driven environment .
  • Strong communication skills to collaborate with quants, data scientists, and portfolio managers .
  • Detail-oriented with a focus on data quality and reproducibility .

When you apply, you voluntarily consent to the disclosure, collection and use of your personal data for employment/recruitment and related purposes in accordance with the Tech Aalto Privacy Policy, a copy of which is published at Tech Aalto's website ( )

Confidentiality is assured, and only shortlisted candidates will be notified for interviews.

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