| Company | American Investment Management Firm |
| Company Info | Over 500 people located all round the world combining technology and financial markets opportunity. |
| Job Title | Principal Data Platform Engineer – Quant Research |
| Job Short Desc | Build the data infrastructure powering sophisticated quantitative research, handling petabyte-scale datasets, high-performance pipelines, and cutting-edge distributed technologies in a genuinely collaborative global engineering environment.
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| Salary | Variable based on experience |
| Locations | |
| Visa | Y |
| Job Summary | Join a high-calibre engineering team building and evolving a world-class data platform for quantitative research and back-testing. You’ll design and own petabyte-scale data infrastructure spanning ingestion, ETL, data quality, storage, backfills, APIs, and consumption, while working closely with quantitative engineers and researchers to deliver robust, scalable solutions. The role offers significant architectural ownership across batch and streaming workloads, distributed systems, columnar storage, performance optimisation, and modern data-platform patterns. You’ll operate at the intersection of engineering and quantitative technology, balancing scalability, stability, feasibility, and speed to deliver infrastructure that supports sophisticated investment strategies globally.
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| Criteria | | Architect scalable infrastructure for quantitative research and back-testing. | | Engineer high-performance data pipelines using Python and modern storage. | | Partner closely with researchers to solve complex data challenges. |
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| Apply | Apply |