Lead Quantitative Developer – Agentic Research Lab

Flowdesk; Dubai; Presencial; AED 900.000 - 1.300.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

International environment

Team events and offsites

Learning and Development budget

Health insurance for employee and depd

Descripción de la vacante

Flowdesk is seeking a Quant Development lead to own architecture and productionize the research platform that underpins automated trading strategies. You will build end-to-end lifecycle management for hypotheses, experiments and agents, collaborating with quant researchers, traders and risk teams.

You will design, implement and maintain scalable data pipelines, model registries, and CI/CD tooling, ensuring reproducibility and safety in a fast-paced, international environment.

Formación

• 10+ years building production software or ML systems.
• Hands-on quantitative experience with backtests, factor or signal models.
• Production experience in systems languages (Rust, C++, Go).
• Experience shipping automated decision systems in regulated environments.

Responsabilidades

• Make the research platform production-grade (MLOps & CI/CD).
• Own the model lifecycle end to end from experiment to deployment.
• Ship tools, prompts and evals through CI and automate PR checks.
• Integrate live data streams and ensure data lineage for reproducibility.
• Design topics, schemas and materialized views for monitoring loops.
• Build multi-agent workflows and evaluation suites.
• Run production-facing experiments from shadow mode to live allocations.

Conocimientos

ML systems experience

Technical lead

Python

SQL

Linux

Kubernetes

Trading/crypto

MLOps

Dagster

ClickHouse

Kafka/Redpanda

MLflow

GitHub Actions

Argo CD

Terraform

Herramientas

Kafka/Redpanda

ClickHouse

MLflow

Dagster

Kubernetes

GitHub Actions

Argo CD

Flux

Terraform

Descripción del empleo

Flowdesk is seeking a Quant Development lead to own architecture and productionize the research platform that underpins automated trading strategies. You will build end-to-end lifecycle management for hypotheses, experiments and agents, collaborating with quant researchers, traders and risk teams.

You will design, implement and maintain scalable data pipelines, model registries, and CI/CD tooling, ensuring reproducibility and safety in a fast-paced, international environment.