About

Filip Ter is a skilled technologist with over 5 years of experience in the finance industry. He is currently working as a Data Engineer at Squarepoint Capital, where he is responsible for data processing and modeling. Filip is experienced in using the Python/Pandas technology stack and has expertise in back-end server development. Currently, Filip is working as a Software Engineer at Quantile Technologies, where he is part of the compression engineering team. In this role, he is responsible for building the infrastructure that allows clients to use Quantile's portfolio compression service. Filip extensively uses AWS tools such as EC2, RDS, Lambda, S3, and CloudWatch, using the Boto3 library to programatically interface with these tools when necessary. He also uses Python programming, using the Pandas and Numpy libraries, to facilitate the processing of client data. For large datasets, Dask is used to parallelize the computation. Filip also has experience in full-stack web development using the Tornado framework on the back-end and React.js with Typescript on the front-end. Filip has previously worked as a Senior Modelling Analyst, AVP at Barclays, where he worked in Quantitative Analytics on modeling Economic Capital for Operational Risk. In this role, he extensively used Pandas, Numpy, Statsmodels, and other numerical python packages. He also performed Maximum-Likelihood model fitting of various tail-heavy distributions and used Monte Carlo simulation for selecting the best performing model. Filip has also worked as a Research Associate, Data Solutions at Creditsights, where he focused on Data Engineering/Science and Quantitative Research. In this role, he used Python, Pandas, MS SQL, and NoSQL technologies to work on bond return calculations for large datasets, analyzing and classifying user behavior, and processed market data for use in fixed-income analysis reports. Filip holds a Master's degree in Computer Science from Queen Mary University of London. His technical skills include Software Engineering, Data Engineering, Pandas, Python, AWS, Backend, Web, Javascript, Typescript, Frontend, Infra, Research Scientist, ReactJS, SQL, and NoSQL. Filip's relevant experience in the industry is 5.37 years.