IHS Markit is a global market leader in providing information, analytics and solutions for industries and markets that drive economies worldwide.
At IHS Markit we’re currently investing in our technology and data platform to develop a number of new revenue generating products, leveraging open source and big data technologies. These include new data integration, advanced analytics, visualisation, aggregation and smart data initiatives that address new customer needs and are highly visible and strategic within the organisation.
These initiatives are using best of breed technologies, such as Hadoop, Spark, Cassandra, HDFS, Kafka, SOLR and AWS along with in-house developed technologies. The successful candidate will be working in a fast paced, dynamic team environment, building brand new commercial products which are at the heart of our business.
The candidate will work on a new IHS Markit Advanced Analytics and next generation data integration platform to develop innovative analytics solutions. Working along with SMEs across industry verticals, develop Proof of Concepts (POC) for break through ideas and develop analytical products for successful POCs.
The candidate will develop products across industries like Financial Markets, Aerospace & Defence, Maritime & Trade, Automobile, Energy, Technology, Media and Communication. These products would leverage variety of data across industries, large volumes of structured and unstructured data with varying velocity. These products use best of breed technologies and AI & Machine Learning algorithms. A sample of our products are,
Leveraging data across Financial Market, Automobile, Energy, Maritime and Defence, machine learning algorithms predict dividend announcement dates and dividend amounts
Terrorism event extraction and classification
News from multiple sources across internet is crawled and events related to terrorism are extracted, deduped and classified using Natural Language and Deep Learning algorithms
Baltic Freight Rate Index forecast
Time series econometrics models predict monthly shipping freight rate indices for dry bulk commodities across several shipping routes for future 24 months
Carbon Pathway optimization
Using non-linear optimization techniques, identify least cost path to achieve carbon emission goals by optimal planning of power production across renewable and non-renewable sources while meeting power demand
Duties and responsibilities
Education and experience
It is the policy of IHS Markit to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, IHS Markit will provide reasonable accommodations for qualified individuals with disabilities. We maintain a drug-free workplace. For candidates in the US, we are a participant in E-Verify (see link below).
If you are currently a colleague with IHS Markit please apply internally via Workday.