Data Scientist

Quantitative Researcher / Ml Engineer, 12 Years

Quantitative Researcher / ML Engineer, 12 years in systematic trading, statistical modelling, and applied ML. Currently at Geneva Trading running short-horizon alpha strategies (Sharpe 1.9-2.4) across equities and crypto futures, with full ownership of signal research, microstructure features, and live execution. Prior: Lead ML at Yandex (production LLM / NLP pipelines, 3M+ requests/day at 30ms P50, 6x distillation), 8 ML projects at AWS ClearScale across finance and forecasting. London-based. Open to remote, B2B contract engagements via sole proprietorship. Immediate start. Comfortable across UK / EU / US business hours. Core stack: Python, XGBoost / LightGBM / CatBoost, LSTM, PyTorch, scikit-learn, BERT, GPT. MLOps: Docker, Kubernetes, AWS (SageMaker, S3, EC2, Lambda), MLflow, Airflow, FastAPI, low-latency systems. Quant: alpha research, statistical arbitrage, signal generation, market microstructure, order flow imbalance, backtesting, execution analysis, slippage / latency modelling, Sharpe / Sortino / max drawdown, factor models, time series, Kalman filters, portfolio construction.

Experience: 11 years

Yearly salary: $150,000

Hourly rate: $100

Nationality: 🇬🇧 United Kingdom

Residency: 🇬🇧 United Kingdom

Experience

Senior ML Engineer / Tech Lead

Yandex

2022 - 2024

Senior ML Engineer / Tech Lead. Production NLP / LLM pipelines at scale: content classification serving 3M+ requests/day at 30ms P50 inference latency (distilled BERT). Designed model distillation pipeline: 6x compression with quality within 2% of full model. Generative AI deployment: YandexGPT for content markup at scale, reducing annotation costs by 97%. Reduced unwanted content by 78% and content leakage by 86% via architecture changes (attention reweighting) and feature engineering on user-session signals. Feature engineering at scale transferable to microstructure / time-series pipelines. Mentored 2 promotions to senior level.

Senior ML Engineer

AWS ClearScale

2021 - 2022

Delivered 8 end-to-end ML projects on AWS across logistics, healthcare, finance, e-commerce, and recommender systems. Architected SageMaker-based training and serving pipelines; standardised team workflow reducing time-to-production from weeks to days. Key projects: demand forecasting (Prophet + LightGBM ensemble), collaborative-filtering recommender at scale, NLP classifier for medical documents.

ML Engineer / Data Scientist

Microfinancial organization "Agora"

2018 - 2021

Led a team of 3 developers. Implemented ML-driven underwriting and collections, reducing operational costs across both functions by 23%. Developed from scratch, implemented and supported ML-based credit scoring, which reduced default rate from 32% to 26% (MFO segment).

Computer Vision Engineer

Spectr

2014 - 2018

Developed a text recognition system for diagnoses and analyses in the medical field, documents (passports, birth certificates, insurance policies, etc.), construction estimates, engineering drawings.

Skills

data-science

english

Create Profile Hire Data Scientists