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3 дня назад

Senior ETF Engineer (Fintech)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Senior ETF Engineer (Python/AWS): Designing, building, and supporting capabilities for the hirify.global ETF platform with an accent on portfolio construction, trading, and analytics. Focus on modernizing platform architectures, optimizing data pipelines, and implementing AI-accelerated engineering practices.

Location: London, UK (Hybrid - must spend at least four full days each week in the office)

Company

One of the world’s leading independent global investment firms dedicated to rethinking possibilities for clients through diverse investment strategies.

What you will do

  • Develop and maintain Python-based services, APIs, and microservices supporting portfolio analytics and optimization workflows.
  • Design and optimize SQL-based data processing (PostgreSQL, SQL Server, Snowflake), including complex queries and large-scale ETL workflows.
  • Build and operate cloud-native applications on AWS utilizing Lambda, S3, ECS/EKS, Step Functions, and Aurora.
  • Implement distributed, event-driven architectures using Kafka for scalable platform execution.
  • Institutionalize AI-accelerated engineering by integrating tools like GitHub Copilot, Claude, and ChatGPT into daily coding and prototyping.
  • Collaborate with portfolio managers and quantitative researchers to translate investment requirements into scalable technical solutions.

Requirements

  • Proven hands-on experience in software or data engineering, preferably within financial services or asset management.
  • Strong proficiency in Python, SQL, and cloud-native development (AWS).
  • Experience with CI/CD, DevOps practices, and automated testing.
  • Fluency in AI-assisted development and the ability to evaluate AI-generated code for security and performance.
  • Deep understanding of data engineering principles, including modeling, pipelines, validation, and lineage.
  • Bachelor’s degree in Statistics, Computer Science, or a similar advanced field.

Nice to have

  • Exposure to portfolio analytics, risk models, or investment workflows.
  • Professional certifications such as CFA, CPA, CIPM, CAIA, or FRM.

Culture & Benefits

  • Comprehensive company-provided healthcare and life insurance.
  • Competitive annual leave and enhanced parental leave.
  • Generous pension provisions and income protection.
  • Flexible hybrid working arrangements.
  • Health and wellness benefits, including dedicated volunteering days.

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