Overview

My client, one of the world’s leading investment banks, is looking for an experienced Data Science with strong NLP experience, to join their Equity Research department. This role will require excellent stakeholder management skills, with both and internal and external clients. The projects will span across alpha generation through stock selection, factor modeling, portfolio construction, risk modeling and analysis.

Investment banking experience is not a pre-requisite, but knowledge and genuine passion to break into the industry will need to be on display. You will need to demonstrate strong Information Retrieval and Natural Language Processing skills, and experience finding solutions to real world, applied problems.

Data Scientist (Investment Banking, Machine Learning, Natural Language Processing, Python)

Key Responsibilities

Employing web retrieval and text mining techniques to facilitate the collection of publically-available unstructured data.
Performing natural language, machine learning, and statistical analysis methods, such as classification, sentiment analysis, and topic modeling.
Writing regular research reports to describe novel ways on how unstructured data and machine learning approaches may enhance company and macroeconomic insights.
Working collaboratively with a team of data scientists to identify business problems, provide data-driven solutions and provide production-level products.
Articulate ideas to clients via written and oral communications.

Company:

Anson McCade (Rec.)

Qualifications:

An MSc or PhD in Information Retrieval/Natural Language Processing with a solid background in statistical learning techniques associated with topic modeling and the design of recommendation systems.
Demonstrable experience with Semantic Web, Resource Description Framework (RDF)/ Web Ontology Language (OWL) / SPARQL, Linked Data, and/or Taxonomies/Ontologies.
Experience developing statistical and predictive models using software such as Apache Spark MLlib, Python, and/or R.
Experience with cloud and big data technologies, particularly Elasticsearch, Hadoop, and Amazon Web services (AWS).
Strong programming skills in at least one object oriented programming language (Java, Scala, C++, Python).
Excellent oral and written communication skills, including the ability to present complex technical information to a generalist audience.

Educational level:

Master Degree

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