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Software Engineer - Quant - Barings
Job in
City of Westminster, Central London, Greater London, England, UK
Listed on 2026-01-05
Listing for:
Jobs via eFinancialCareers
Full Time
position Listed on 2026-01-05
Job specializations:
-
Software Development
Software Engineer, Data Engineer
Job Description & How to Apply Below
We are looking for an experienced Software Engineer with a passion for Python and a knack for creating cutting‑edge technology. This role offers a unique blend of technical challenges and the ability to make a major impact on the firm. At Barings, we are building a team of technical leaders passionate about emerging technologies and driving our business toward a data‑ and engineering‑centric strategy.
You will be responsible for working with various business partners across the Quant and Risk area to play a critical role in building out and enhancing the quant platform.
- Support automation and optimization of Quant Research processes
- Work across asset‑classes with particular focus on Fixed Income, Multi‑Asset and Insurance
- Work closely and collaboratively with our business partners to understand requirements and develop business focused solutions
- Advanced proficiency in Python with a strong focus on Pandas and Py Spark
- Work in cross‑functional agile teams to continuously experiment, iterate, and deliver on new objectives
- Strong track record in working with open‑source projects and picking the right tool for the job by keeping up to date on the latest industry trends in upcoming technologies
- Ability to bring less experienced team members along for the ride with the ability to explain complex technical topics and conduct code reviews
- Experience building data pipelines and orchestration frameworks
- Strong knowledge of PySpark and the Databricks ecosystem
- Implement scalable and reusable frameworks and solutions utilizing good Dev Ops practices
- Strong software engineering fundamentals with a focus on writing clean, well‑tested code
- Good understanding of data and data architecture patterns
- Experience with relational and time‑series databases
- Self‑starter attitude
- Ability to work with global teammates across three different time zones
- Good understanding of ML and NLP processes
- Experience working in Cloud environments, particularly in Azure
- Experience working with and creating reusable Restful APIs
- Working knowledge of Power
BI and report building - Working knowledge of Typescript and Angular
- Python, SQL, and Microsoft Power BI skills
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