Senior Associate

6 days ago

Singapore Temasek Full time

**Company**: Temasek International Pte. Ltd.
**Dept** : Investment Data Science
**Position**: Senior Associate / Assistant Vice President, Investment Data Science
**Reporting** : Vice President, Investment Data Science

**Overview of the Team and Department**

Our Portfolio Strategy & Risk Group (PSRG) actively guides the firm's investment activities and drives sustainable returns, while protecting the portfolio and the institution. The group actively explores overlay and alternative portfolio strategies to enhance our portfolio returns.

Temasek's Investment Data Science (IDS) team works closely with our colleagues to generate investment insights by taking advantage of cloud computing resources, alternative datasets, advanced data science/machine learning techniques, and decades of collective investing experience.

The IDS team is a part of PSRG and supports its activities through:

- Investment due diligence and monitoring of investment proposed or made by IG. To research and build data science / statistical models to help IG make better investment decisions.
- Quantitative and Quantamental investing to complement the firm’s fundamental bottom-up investing. To research and refine quantitative signals (from alternative data as well as more traditional quant/style/accounting metrics) to enhance returns on a fundamentals-driven portfolio.

**Roles & Responsibilities**

This role will join the team in all areas of work but would be focused on researching and developing quantitative signals for input into the firm’s overall macro investing activities and quantitative/quantamental investing activities.

Key responsibilities include:

- Collaborating with our team of Investment Data Scientists and Engineers on predictive analytics, cross-sectional and time series analysis, and natural language processing related projects
- Collaborating with our PSRG colleagues to validate and implement trading signals

**Requirements**:
**Minimum Requirement**
- 3-5 years of prior buy-side work experience researching and developing signals using a range of datasets
- Understanding of and appreciation for basic micro and macroeconomic dynamics
- Understanding of how models can be built to explain or predict how businesses work or market move
- Knowledge of how to interact with databases (e.g. PostgreSQL or Snowflake)
- Programming skills in Python or R notebooks
- Empirical, detail-oriented mindset
- Strong oral and written communication and interpersonal skills.
- Strong problem-solving skills
- Intellectual curiosity and passion
- Proven critical thinking skills

**Preferred Requirement**
- Experience presenting signals or trading ideas to investment decision making managers or committees
- Experience with the ecosystem of common data science packages: Numpy / Scipy / Scikit-learn, Pandas, R’s Tidyverse, xts, caret, etc.
- Working knowledge of visualisation tools such as Tableau or Qlik

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