Vladislav Arialin
Quantitative Developer @ Consilium Crypto
Canada
Montreal
Investment Management
Machine Learning, Python, Trading, Financial Markets, LaTeX, Python (Programming Language)
Experience

Quantitative Developer
Montreal, Canada Area
Consilium Crypto provides Data & Analytics to Financial Institutions so they can make data-driven decisions in the cryptoasset markets. Our data pipelines capture over 90% of the global trade volume, 24/7 News and Text Analytics as well as multiple Alternative data sources . Combining these data streams gives Consilium the ability to provide Funds, Family Offices and Exchanges with a 360-degree view of any asset on the crypto markets. With prior experience in Big Data Startups, Financial Market Analysis, Trading and Software Development, the Consilium Crypto team brings the transparency of traditional markets to the Crypto World. Key Contributions: ● Programmed low-latency concurrent arbitrage and market-making algorithms ● Set up a backtesting framework supporting multiple datafeeds, optimization with cross validation & parameter grid search, portfolio monitoring tools and plotting ● Implemented polymorphic exchange data extraction methods for orderbook & trade data ● Built an interactive dashboard in Plotly Dash

Fixed Income Trader
Montreal, Canada Area
Actively traded short-term interest futures on the Montreal Exchange Developed heuristics of risk management for sizing and timing of trades Built a Python pipeline for retrieval and storage of raw financial data from Bloomberg
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