### About the company

CoinMarketCap is the worldās 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

šDeveloping Prediction systems and Machine Learning algorithms šDevelop full life cycle of Algo development, especially on Algo design, modeling, verifying, and continuous tuning šData mining or extracting usable data from valuable data sources šUsing Machine Learning tools to select features, create and optimize classifiers šCarrying out pre-processing of structured and unstructured data šEnhancing data collection procedures to include all relevant information for developing analytic systems šProcessing, cleansing, and validating the integrity of data to be used for analysis šAnalyzing large amounts of information to find patterns and solutions šPartner with Dev team to prepare data set, improve the effectiveness of trading models and measure performance šPropose solutions and strategies to tackle business challenges

## Qualifications

šAt least 7 years of proven experience from Financial industry or similar background šProficient in Equity / Derivatives / FX Trading analysis & modeling šFamiliar with market making and arbitrage in financial markets šExperience with Algo trading system is a plus šHave a deep understanding of derivatives products i.e. futures and options and cryptocurrency industry šAble 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 šExperience with hedge/mutual fund, trading house, brokerage or investment banks are big bonus šProgramming Skills ā knowledge of statistical programming languages like R, Python, and database query languages like SQL, Hive, Pig is desirable šStatistics ā Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc. šProficiency in statistics is essential for data-driven companies šMachine Learning - Good knowledge of Machine Learning methods like k-Nearest Neighbors, Naive Bayes, SVM, Decision Forests šStrong 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 šData Wrangling ā proficiency in handling imperfections in data is an important aspect of a data scientist job description. šExperience with Data Visualization Tools like matplotlib, ggplot, d3.js., Tableau that help to visually encode data