Quantitative Software Architect
3 days ago
We are seeking a highly skilled Quantitative Software Architect to join our Front Office Data Engineering team at Algo Capital Group.
The ideal candidate will collaborate closely with various departments, designing and maintaining data ingestion processes that drive investment decisions and support critical operations.
In this dynamic role, you'll develop and manage platforms, tools, and systems for running and monitoring these processes. You'll thrive in a fast-paced environment, interact directly with business stakeholders, and deliver results under pressure.
Key Responsibilities:- Drive the future of data innovation across Algo Capital Group as a key player in the newly established and fast-growing Data Engineering team.
- Spearhead the design and expansion of a cutting-edge data platform, integrating diverse data sources for real-time insights.
- Partner with Trading, Quant, Technology, and Business Operations teams to deliver high-impact data projects that shape our competitive edge.
- Architect and deploy advanced batch and streaming data pipelines using Kubernetes/EKS, Kafka/MSK, and Databricks/Spark within a dynamic hybrid cloud environment.
- Inspire and mentor junior engineers, setting the standard for excellence in software and data engineering practices.
- Craft clean, robust, and meticulously documented code, ensuring the reliability of mission-critical applications.
- Lead the creation of automated data validation suites, upholding the highest standards of data quality, availability, and accuracy in line with strict SLAs.
- 3+ years of professional experience in software application development from a tier 1 investment bank, hedge fund, or proprietary trading firm.
- Proficiency in Python is a strong advantage.
- Self-driven and ready to take ownership of impactful projects from day one.
- Hands-on experience with data platforms and technologies like Delta Lake, Spark, Kubernetes, Kafka, ClickHouse, and/or Presto/Trino.
- Proven track record of building large-scale batch and streaming pipelines with stringent SLA and data quality standards.
- Strong communication, analytical, and problem-solving abilities.
- Experience working with diverse data sets and frameworks across various domains; financial data experience is a plus but not required.
Estimated Salary: $140,000 - $200,000 per year.
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