QuantAim Engineering · Data & AI Consultancy · Limassol, Cyprus

Data & AI engineering
for regulated industries.

Senior, hands-on engineering for organizations where the data is sensitive, the rules are real, and “it mostly works” is not an option — banks, healthcare, government science, and fintech.

Start a project Selected engagements
20+ yrs
Tier-1 bank engineering
UKHSA · UCL
UK government science
6 yrs
Live systematic trading, 2016–2022
UK · EU
Remote-first engagements

What we build

Data platforms

Pipelines & platforms

ETL and streaming pipelines in Python, Spark, and SQL; warehouse builds and migrations across Snowflake, Teradata, and Oracle; orchestration with Airflow.

Machine learning

ML engineering

Models into production: feature pipelines, forecasting and anomaly detection, optimization, deep learning — engineered, tested, and monitored, not demoed.

Compliance

AML & RegTech systems

Transaction monitoring, SWIFT parsing and payment control, screening integrations — designed and delivered inside Tier-1 bank change control.

Quant

Trading & quant infrastructure

Market-data pipelines, backtesting engines, execution and P&L systems — the machinery of systematic strategies, built to run unattended.

Cloud

AWS architecture

ECS, EMR, Lambda, SageMaker, S3; CI/CD and infrastructure discipline; cost-aware design for data-heavy workloads.

Research

Research engineering

Data engineering for scientific teams — reproducible pipelines and published-grade data quality for government and academic studies.

Python · Spark · SQL · Snowflake · Teradata · Oracle · AWS · Airflow · TensorFlow / Keras · Palantir Foundry · Dataiku

Selected engagements

  • Barclays. Compliance IT: designed and delivered transaction-monitoring infrastructure for an offshore jurisdiction; SWIFT payment-control reporting that replaced a manual process (circa £100k saved per year); Quantexa deployment; Hadoop/Spark data-science sandbox.
  • Deutsche Bank. Operational-risk and sales IT across London and Moscow: risk scoring and incident-reporting systems, Oracle backends, data-warehouse design and tuning.
  • UKHSA & UCL. Research data pipelines for the VIVALDI study; contributions to published COVID-19 vaccine-effectiveness research; Palantir Foundry, PySpark, SageMaker.
  • British Airways. (via Equal Experts) Teradata-to-Snowflake comparison service on AWS ECS; SSIM schedule-data ETL; input to the Olympus platform migration strategy.
  • Outra. Geospatial machine learning (HDBSCAN) that improved ad-targeting performance; Prophet-based anomaly detection for ETL monitoring; Dataiku platform engineering.
  • Q-Trader. Proprietary systematic crypto trading system: deep learning and reinforcement learning, backtesting, execution and P&L — six years live on AWS.

How we engage

  • Interim. Senior engineering embedded in your team — contract, remote-first across the UK and EU.
  • Fixed scope. A defined system delivered whole: code, documentation, tests, and runbooks included.
  • Advisory. Architecture reviews, migration strategy, platform selection — fractional and direct.

Direct engagements or via established agencies; UK and EU contracting structures supported.

One founder, one discipline. Everything we build ships with documentation, tests, and runbooks — the same standard we hold for our own systems, from Tier-1 bank infrastructure to six years of live systematic trading.

Start a project

A few lines about your system and its problem is enough to begin.

engineering@quantaim.net
linkedin.com/in/imonahov

Replies come from Igor — usually within two business days.