Junior Data Scientist

- 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.

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