Quantitative Developer
- Source: LinkedIn
- StreetID
- On-site
- New York City
- Full-Time
- Mid level
Job Description
We are seeking a highly motivated and talented individual to join our team as a Equities Quant Engineer. Responsibilities fall along 3 major verticals - Data Engineering, Data Analytics, and Data Quality. This unique role requires a candidate who is comfortable interfacing with investment staff, as well as key stakeholders from various functions in the firm including Investment, Finance, Investor Relations and Compliance. The ideal candidate possesses strong technical skills and thrives in a fast-paced environment.
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Analyze large datasets to identify trends, patterns, and insights that can inform investment decisions.
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Collaborate with investment staff, finance, and investor relations to understand their data needs and develop solutions to meet those needs.
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Ensure data quality, accuracy, and consistency across all data sources and applications.
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Design, develop, and maintain data pipelines, ETL processes, and data storage solutions.
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Continuously improve processes and systems to enhance efficiency and effectiveness.
**Requirements:**
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Bachelor’s degree in Computer Science, Finance, or a related field.
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Experience in data engineering + data analysis, and/or software development.
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**Experience with SQL** and relational databases (e.g. PostgreSQL (preferred), MS Sql Server, Oracle).
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Comfortable with programming languages such as Python, R, Java, OR Scala
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Ability to write, digest, and troubleshoot complex SQL
Skills
- PostgreSQL
- oracle
- Python
- Java
- Scala
