Python developer Solutions
About the Team
The Client Solutions & Analytics engineering team builds and maintains a suite of proprietary quantitative platforms spanning portfolio construction and optimization, retirement and defined contribution solutions, Capital Market Assumptions, multi-asset risk analytics, and institutional client intelligence tooling.
In practice, this means translating complex investment models — Monte Carlo retirement simulations, factor risk frameworks, liability-driven optimization, capital market forecasting — into reliable, scalable production systems used daily by portfolio managers, financial advisors, and institutional clients worldwide.
The Role
We're looking for a Backend Engineer to design and build the APIs, data pipelines, and services that power these platforms. This is a hands-on, high-impact role at the intersection of quantitative finance and scalable platform engineering — where a well-designed data model or a faster pipeline directly influences investment decisions at scale.
Responsibilities
- Design and implement RESTful APIs using Python frameworks (FastAPI, Django, Tornado)
- Build and maintain data pipelines and backend services for analytics workloads
- Design and optimize database schemas across relational, NoSQL, and cloud data stores
- Work with structured and unstructured data across Snowflake, Postgres, S3, and MongoDB
- Collaborate closely with quantitative researchers, frontend engineers, and business stakeholders
- Contribute to system design and architecture decisions — scalability, reliability, security
- Monitor and troubleshoot production systems using observability tooling
Requirements
- 5+ years of backend development experience
- Strong Python proficiency — the team's primary language
- Solid hands-on experience with Postgres, Snowflake, MongoDB, and S3
- Strong grasp of data modeling (ER design) and system design principles
- Interest in AI-assisted development and modern developer tooling
- Experience building and shipping production-grade REST APIs
Engineering Practices
Strong Git discipline (branching, PRs, code review) · Agile/Jira · Observability tooling (Datadog, Komodor, or similar) · Secure software design · Clear technical documentation
Additional Requirements
- Experience with NumPy, Pandas, or other data/analytics libraries
- Cloud-native development experience (AWS or similar)
- Familiarity with asynchronous processing or distributed systems
- Background working with financial or analytical datasets
- Finance domain knowledge — valued but not required
Benefits
- Flexible work setup: remote or a hybrid model
- Health insurance coverage for those based in Poland.
- 50% coverage of health insurance for spouses and children in Poland.
- 24 days of paid vacation.
- 10 days of paid sick leave.
- 50% reimbursement for professional training, education, conferences.
- Work alongside a highly professional team.
- Engaging teambuilding events and activities.
In case of relocation to Poland , we offer
- Flight tickets, accommodation rent for 1st month for our relocated employee and his/her official family.
- Support in visa application and issue process, entry permit and residence permit processing
