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Data-driven insights specialist

Sydney
beBeeResearcher
Posted: 17 September
Offer description

Quantitative Researcher

We're seeking a skilled Quantitative Researcher to play a crucial role in driving business growth through data-driven insights and trading strategies.

This is an opportunity for a highly analytical individual to leverage their mathematical, statistical, and programming expertise to tackle complex problems in financial markets.

The successful candidate will be responsible for applying advanced research techniques to better understand global market trends, product offerings, and exchange networks.

As a key member of our team, the Quantitative Researcher will contribute to the development and implementation of trading strategies that drive business forward.

Our ideal candidate will possess a strong foundation in probability and statistics, with experience working with large datasets and building statistical forecasting models.

A degree in Mathematics, Physics, Statistics, Electrical Engineering, Computer Science, Operations Research, or a related field is required.

What We Offer:

A collaborative work environment with highly technical colleagues.

Industry-leading resources and technology infrastructure.

Comprehensive training, learning, and development programs.

Tangible mentorship and cross-collaboration opportunities between trading, research, and development teams.

Real Impact: Contribute to solving complex technical challenges and drive insight to markets.

Work alongside other quantitative researchers to influence trading decisions.

Balanced Working Culture: Our flat structure allows employees to thrive together regardless of title or tenure.

Requirements:

* PhD or equivalent degree in Mathematics, Physics, Statistics, Electrical Engineering, Computer Science, Operations Research, or related discipline.
* Foundational knowledge of probability and statistics.
* Experience working with large datasets.
* Building statistical forecasting models to impact real-time problem sets.
* Strong practical computing skills in object-oriented languages.

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