We are a Big Data, Financial Engineering and News Analytics company with headquarters in the Singapore. And, there are offices in India and Europe. Our advanced algorithms transform unstructured data in finance into actionable alerts. InfoTrie helps visualize in an insightful way to reduce analysis time.
Become a Quantitative Analyst / Data Scientist for InfoTrie:
Responsibilities:
Analyze and draw insights from financial data, structured and unstructured
Research and develop new data mining, text mining algorithms and models
Improve existing algorithms and models
Where possible, write papers describing novel work
Requirements:
Basic knowledge of finance
Experience with scripting languages: R, Python
Relational database and SQL
Linux shell programming: pipes, redirection, process control, etc.
Statistical and time series analysis
Machine learning: regression (lasso, ridge, principal component, etc.), clustering, SVM, Neural Nets, etc.
Regular expressions and text mining techniques
Effective communication skill and ability of independent study and research
Desirable skills:
Java, Perl, Scala
Hadoop, Spark, Storm, Kafka
NoSQL databases: MongoDB, Time Series DB, Redis
Distributed search engine: Solr, Elasticsearch
Multiple languages (other than English) capability
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- Company:
InfoTrie Financial Solutions Pte Ltd - Designation:
Quantitative Analyst - Profession:
IT / Information Technology - Industry:
Finance