We’re Hiring · Warsaw & Remote
Join the team
where technology
meets finance.
Data becomes intelligence here. We’re building the infrastructure that lets the world’s most demanding institutions train AI without ever touching real records.
Warsaw · Remote Global
5 Open Roles
NDA from Day One
Deep Tech First
We don’t cut corners on the math. Every model we ship is mathematically grounded, auditable, and built to survive regulatory scrutiny.
Privacy by Design
Zero real data ever enters our systems. We’ve built privacy into the architecture from day one — not bolted on after the fact.
Move Fast, Stay Rigorous
We ship production-ready infrastructure in weeks, not years. Speed without sacrificing the standards that institutional clients demand.
Open Positions
Currently hiring for
five key roles.
Engineering
Machine Learning Engineer
What You’ll Work On
Design and implement probabilistic models for synthetic data generation (GANs, VAEs, diffusion models)
Build and maintain our UTGAN and ARA neural architectures for tabular data synthesis
Implement DP-SGD and differential privacy mechanisms that meet formal mathematical guarantees
Validate statistical fidelity using Wasserstein distance, KS tests, and domain-specific metrics
What We’re Looking For
Strong background in probabilistic ML — Bayesian inference, generative models, uncertainty quantification
Production experience with PyTorch or JAX
Understanding of differential privacy and formal privacy guarantees
Experience with tabular data — financial, healthcare, or enterprise datasets preferred
Apply with CV + brief note on your experience with generative models
Send your application to
info.northhavenanalytics@gmail.com
Engineering
Software Engineer — Backend
What You’ll Work On
Architect and build the scalable backend infrastructure powering Northhaven Hub
Design REST APIs and webhook systems for enterprise MLOps integrations (AWS, Azure, GCP, Databricks)
Build token management, generation queuing, and async job processing systems
Own infrastructure reliability, observability, and deployment pipelines
What We’re Looking For
5+ years backend engineering — Python, Go, or Rust preferred
Experience designing high-throughput distributed systems at scale
Strong understanding of cloud-native architecture (Kubernetes, Docker, serverless)
Familiarity with data pipeline tooling — Spark, Kafka, Airflow
Apply with CV + GitHub profile or relevant architecture examples
Send your application to
info.northhavenanalytics@gmail.com
Research
Quantitative Researcher
What You’ll Work On
Bridge the gap between financial domain logic and ML model design — ensure our synthetic data is economically credible
Design stress scenario parameters for our Scenario Engine (rate shocks, liquidity crises, ESG shocks)
Build and validate sector-specific schema templates for Finance, Insurance, Energy, and Real Estate
Work directly with institutional clients to translate their risk frameworks into synthetic data specs
What We’re Looking For
Background in quantitative finance, financial mathematics, or econometrics
Hands-on experience with credit risk, IFRS9, market risk, or actuarial modeling
Comfortable working in Python with pandas, NumPy, and statistical testing libraries
Ability to communicate complex quantitative concepts to non-technical stakeholders
Apply with CV + brief description of a quantitative project you’ve led
Send your application to
info.northhavenanalytics@gmail.com
Compliance
Data Privacy Specialist
What You’ll Work On
Own GDPR, HIPAA, and EU AI Act compliance across all Northhaven products and client deployments
Design and maintain our automated Compliance Report framework (Wasserstein, KS metrics, DPO-ready PDFs)
Support enterprise clients in navigating regulatory approvals for synthetic data use cases
Work with the ML team to ensure our DP-SGD implementations meet formal privacy guarantees
What We’re Looking For
Deep practical knowledge of GDPR, CCPA, and sector-specific regulations (HIPAA, FCA, EBA)
Understanding of privacy-enhancing technologies — differential privacy, pseudonymization, anonymization
Experience working with DPOs, legal teams, and regulators in financial or healthcare sectors
Ability to translate technical privacy guarantees into plain-language documentation for clients
Apply with CV + example of compliance framework you’ve built or contributed to
Send your application to
info.northhavenanalytics@gmail.com
Sales
Enterprise Sales Executive
What You’ll Work On
Own the full enterprise sales cycle — from outbound prospecting to contract close at banks, funds, and FinTechs
Build and manage relationships with CTOs, Chief Data Officers, and Head of Risk at institutional clients
Run technical discovery sessions and position Northhaven’s synthetic data infrastructure against client pain points
Collaborate with the engineering team to scope and price custom enterprise deployments
What We’re Looking For
3+ years B2B enterprise sales — deep tech, data infrastructure, or financial software preferred
Proven track record closing six-figure deals with financial institutions or enterprise technology buyers
Comfortable discussing ML infrastructure, compliance frameworks, and data architecture at a technical level
Existing network in FinTech, banking, or private equity is a strong advantage
Apply with CV + brief note on your largest enterprise deal closed
Send your application to
info.northhavenanalytics@gmail.com
Ready to innovate?
Don’t see your
role? Write anyway.
If you think you belong here but don’t see the exact right opening — send us an email. We’re always interested in exceptional people who understand where finance and deep tech intersect.
info.northhavenanalytics@gmail.com