Data Scientist

Position:Data ScientistThe Data Scientist will take part in the implementation of new and strategic initiatives and will focus on data related tasks applying data science and algorithmic solutions, to perform complex statistical analysis, predictive modelling, and to derive meaningful insights and actionable conclusions.The ideal candidate will have at least 1-3 years of experience in business analytics and has experience in solving analytical problems using quantitative approaches. This person shall also have a passion for data, enthusiasm to work closely with business partners on data-related projects and background in finance. This is a unique opportunity to initiate and drive data-driven projects with high business impact and visibility within a large financial organization.Main DutiesAble to create algorithms to extract information from large data setsDeliver data services to a wide variety of stakeholders by engineering bespoke toolsUnderstand data and apply analytical techniques for feature engineering and selectionExtracting and aggregating data from large data sets using SQL or other toolsDeveloping and maintaining predictive modelsWorking on end-to-end analytical projects through structured problem solvingWorking with a team to develop a new product or serviceRequired SkillsStrong analytical and programming skills (Python, R, SQL, Spark DataFrame API, KDB+ and other relevant libraries and software)Experience with Jupyter / Pandas / Numpy to manipulate and analyse dataKnowledge of Machine Learning techniques and their respective pros and consConfident communicator and contributes effectively within a team environmentHave experience developing and maintaining predictive modelsExperience with Python libraries such as Pandas, NumPy, SciPy, Scikit-LearnExperience with Apache Spark will be preferredPrevious exposure to financial services, FinTech, brokerage services is a plus