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Build ML models to automate revenue for vacation rental owners on Booking.com and Airbnb using private API and competitive pricing data.
Build and maintain data pipelines and architecture for a global energy trading firm, enabling real-time analytics and ML-driven insights for traders using SQL, Python, and Snowflake.
Build and maintain ETL/ELT pipelines and Snowflake data warehouse, using dbt and Python to enable self-service analytics for a fintech SME lender.
Build and deploy classical ML models (regression, classification, clustering) in Python to solve manufacturing, asset-downtime, churn, and geospatial problems for private-equity clients.
Design and build high-performance big data applications in AWS and Databricks, processing large datasets in batch and real-time for clients across industries.
Lead AI/ML Data Engineer builds and deploys machine-learning features and data pipelines for Mastercard’s products, using Python, Spark, and cloud platforms.
Build and maintain data pipelines on GCP (BigQuery, Dataflow) and create Power BI dashboards to deliver analytics for business stakeholders.
Build and maintain data pipelines and warehouses for a financial-services firm using Python, SQL/PLSQL, and PySpark in a hybrid on-prem/cloud environment.
Build and maintain Python-based trading tools and data platforms for commodities portfolio managers, collaborating with PMs and using pandas, numpy, SQL, and React/Angular.
Develop quantitative models and analyze financial data using Python, pandas, and NumPy for a London-based trading firm.
Build and maintain Python data-processing scripts using Pandas/NumPy, handle files, and write tests with unittest/pytest for a hybrid contract role.
Develops and maintains Playtech’s Sportsbook product using Python, NumPy, Cython, and C to build high-performance betting algorithms and microservices.
Build and maintain Python-based risk engines for market, clearing, counterparty and operational risk using Pandas, NumPy and cloud tech; integrate post-acquisition systems and explore Agentic AI for code generation.
Develop and maintain audio watermarking and fingerprinting systems in Python, improving robustness and scalability for media measurement research and production deployment.
Build and maintain Python-based pricing, risk, and trading tools for a European investment bank’s equities desks, working with real-time market data and collaborating closely with traders and quants.
Build backend trading and risk systems in Python, process financial data with Pandas/NumPy, and integrate with investment-banking teams.
Designs and maintains Python scripts for data processing and transformation using Pandas and NumPy, builds efficient algorithms, and collaborates with analysts and engineers.
Build and maintain enterprise-grade Python ETL pipelines and data-processing apps using Pandas, Polars, SQL, and AWS S3 for a trading-focused client.
Mid-level Python developer building financial trade-processing automation, data visualization tools, and web apps using Django/Flask/FastAPI for a London investment manager.
Mid-level Python developer builds and maintains data-processing scripts using Pandas, NumPy, and file-handling libraries, writes unit tests, and collaborates with analysts and engineers.
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