InfoTrie is a Big Data company headquartered in Singapore.
Our flagship solution FinSentS, is a cutting edge Sentiment Analysis and News Analytics engine (www.finsents.com).
It scans the web (news, blogs, social media) and proprietary sources for thousands of stocks, FX, commodities... Sentiment scores are correlated to asset prices to ensure consistency. They can be used a technical indicator or as a quantitative real-time feed (market data) for your algorithms or systems (risk, compliance, …)
You can use our portal, our APIs, our Apps. We can white label our solutions and have our scores and analytics available for your analysts, traders or clients.
We brought in the company decades of expertise on Information Systems, Artificial Intelligence, Financial Engineering & Quantitative Modelling. We see ourselves at the crossroad of these domains empowering access for all to unstructured data.
Responsibilities:
Scrape, retrieve and clean data from a variety of unstructured sources (web, text)
Help build data processing pipelines, optimize and maintain our big data platform
Develop and improve our APIs and document them properly
Develop web application UI and visualization
Build prototypes to support our sales and business development which will then be integrated by our main tech team in our core system / web sites
Requirements:
Experience with Java, Python
Javascript and d3.js library
HTML, CSS
Relational database and SQL
Linux system management and shell programming
Effective communication skill and ability of independent study and research
Desirable skills:
Perl, R, Scala
Knowledge of statistics, machine learning and text mining
NoSQL databases: MongoDB, Time Series DB, Redis
Hadoop, Spark, Storm, Kafka
Distributed search engine: Solr, Elasticsearch
Multiple languages (other than English) capability
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- Company:
InfoTrie Financial Solutions Pte Ltd - Designation:
Data Engineer - Profession:
IT / Information Technology - Industry:
Finance