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Senior Data Scientist Algorithm Quant Trading
10 months ago | 682 views | 1 applications

Senior Data Scientist Algorithm Quant Trading

Per year
$130,000 To $200,000

About the company

CoinMarketCap is the world’s most trusted and accurate source of data for cryptocurrencies. Used by millions of individuals, organizations, and exchanges, CoinMarketCap brings the most up-to-date market capitalizations, pricing, and cryptocurrency information to our users. Pulling data from multiple exchanges and combining our robust research allows us to provide the most realistic representation of each cryptocurrency. As we grow, we will continue to provide access to our data wherever, whenever, and however is most helpful to our users.

Job Summary

Job Description

📍Developing Prediction systems and Machine Learning algorithms 📍Develop full life cycle of Algo development, especially on Algo design, modeling, verifying, and continuous tuning 📍Data mining or extracting usable data from valuable data sources 📍Using Machine Learning tools to select features, create and optimize classifiers 📍Carrying out pre-processing of structured and unstructured data 📍Enhancing data collection procedures to include all relevant information for developing analytic systems 📍Processing, cleansing, and validating the integrity of data to be used for analysis 📍Analyzing large amounts of information to find patterns and solutions 📍Partner with Dev team to prepare data set, improve the effectiveness of trading models and measure performance 📍Propose solutions and strategies to tackle business challenges


📍At least 7 years of proven experience from Financial industry or similar background 📍Proficient in Equity / Derivatives / FX Trading analysis & modeling 📍Familiar with market making and arbitrage in financial markets 📍Experience with Algo trading system is a plus 📍Have a deep understanding of derivatives products i.e. futures and options and cryptocurrency industry 📍Able to demonstrate good coding skills, familiar with big data processing and analysis such as Hive(SQL), Python and be able to build the quantitative model from large and complex datasets and good at data visualization 📍Experience with hedge/mutual fund, trading house, brokerage or investment banks are big bonus 📍Programming Skills – knowledge of statistical programming languages like R, Python, and database query languages like SQL, Hive, Pig is desirable 📍Statistics – Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc. 📍Proficiency in statistics is essential for data-driven companies 📍Machine Learning - Good knowledge of Machine Learning methods like k-Nearest Neighbors, Naive Bayes, SVM, Decision Forests 📍Strong Math Skills (Multivariable Calculus and Linear Algebra) - Understanding the fundamentals of Multivariable Calculus and Linear Algebra is important as they form the basis of a lot of predictive performance or algorithm optimization techniques 📍Data Wrangling – proficiency in handling imperfections in data is an important aspect of a data scientist job description. 📍Experience with Data Visualization Tools like matplotlib, ggplot, d3.js., Tableau that help to visually encode data

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