Junior Data Scientist in OnHires

- Our client company is a Foreign Exchange Hedge Fund. - 99% of their trading is done by systems on computers in data centers in New York. - Their founder has adapted a portfolio of trading systems that are highly profitable but have not yet been optimised. - They have a deep connection to Ukraine and are opening an office in Ukraine to further develop their profitable systems and invest in staff to find and build new even more profitable systems. - They are a high-frequency trading firm, which means they hold positions for (generally) very short periods and their systems trade 24 hours 5 days a week. - They trade US$700m - $800m of foreign exchange every month. Responsibilities - Guided by the Senior Foreign Exchange Trader and working with a programmer; - Analyze all trading to find ways to optimize algorithms or understand our mistakes and how the company can improve; - Research markets and correlation between currencies and economics released information (CPI, GDP, Interest rates); - Find ways to exploit or use correlation to improve the company systems; - Build theories on how to quantitively make money in a currency or currencies and then test and then implement live trading; - Perform constant testing of multiple variants of all algorithms to optimize and update the company's live servers; - Use basic machine learning to assist in the above; - Analyze their trading to know which trading system works with which currency and at what times and what market conditions; - Take an algorithm with 20-30 settings and testing all variants to find the best way to tune that algorithm and when to place it into live trading; - Find ways to understand why profitability increases or decreases on their platforms; - Look at predictive modelling of potential for loss or serious loss vs. returns; - You will look for patterns in their trading both losses and gains; - With the programmer create visualization of specific data and performance of their systems; - Find evaluate, purchase, and test all publicly sold available algorithms; - Find ways to improve those algorithms, combine or modify them; - Learn to measure and categorize markets and individual currencies based on volumes, volatility, trading ranges, direction, and speed of changes and how that applies to our various trading systems. Qualifications - With 1-2 years of experience in real-world data analytics; - Degree in Data Science, Maths, or Statistics; - Interested in how foreign exchange, stock market, and bitcoin markets work; - Experience in analysis of data to improve real-world decisions on a regular almost daily basis; - Less important to have worked in a large company/team; - No specific trading or Foreign exchange experience but that would be an advantage; - Problem Solving and competitive mindset. Skills - Excel and data analysis; - Python; - R Programming; - Database and SQL; - Data warehousing; - Can work in high pressure environment trading hundreds of millions of dollars of foreign exchange each month.