Software Engineer - Quant - Barings

Jobs via eFinancialCareers; City of Westminster; On-site; GBP 80,000 - 100,000; Full time

Job summary

A financial services firm in Westminster is seeking an experienced Software Engineer who is passionate about Python and building innovative technology solutions. This role involves supporting Quant Research processes, developing data pipelines, and collaborating with various business partners. Ideal candidates should have strong knowledge of PySpark, experience in Cloud environments, and the ability to work in agile teams. This position offers unique technical challenges in a dynamic and impactful team environment.

Qualifications

• Good understanding of ML and NLP processes.
• Experience working in Cloud environments, particularly Azure.
• Experience with and creating reusable Restful APIs.

Responsibilities

• Support automation and optimization of Quant Research processes.
• Work across asset-classes with focus on Fixed Income and Multi-Asset.
• Collaborate with business partners to develop solutions.

Skills

Proficient in Python

Strong focus on Pandas

Expertise in PySpark

Experience with open-source projects

Ability to explain technical topics

Familiarity with ML and NLP

Experience in Cloud environments

Knowledge of Typescript and Angular

Tools

Databricks

SQL

Power BI

Job description

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.

Responsibilities

• 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 PySpark
• 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 DevOps 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

Qualifications

• 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 PowerBI and report building
• Working knowledge of Typescript and Angular
• Python, SQL, and Microsoft Power BI skills