InfoTrie Financial Solutions Pte Ltd – Quantitative Analyst

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. So, you can spend more time on making decisions.

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