As a Quantitative Data Engineer at SIG, you will be responsible for designing, developing, and maintaining complex data infrastructure and pipelines that support our advanced trading and research operations. You will work closely with quantitative researchers and traders to create robust, scalable data solutions that enable high-performance computational and analytical capabilities.
The ideal candidate will have a strong background in software engineering, with extensive experience in data processing, distributed systems, and performance optimization. You should possess advanced programming skills in languages like Python, Java, or C++, and have demonstrable experience with big data technologies, database design, and cloud computing platforms. A deep understanding of financial markets, trading strategies, and quantitative research methodologies is highly valued.
SIG offers a competitive compensation package with opportunities for significant professional growth, cutting-edge technological challenges, and a collaborative work environment. We provide comprehensive benefits, continuous learning opportunities, and the chance to work with some of the most innovative minds in the financial technology sector. Our commitment to employee development and our dynamic, intellectually stimulating workplace make us a premier destination for top-tier data engineering talent.
