Overview
- Are you bored in your current role and feeling unchallenged?
- Are you looking for a new challenge, an opportunity that pushes you to your limits, an opportunity solving real world problems?
- Do you have what it takes to adapt your skills to a new market and really make a huge impact in the financial industry?
- If the answer yes, read on and apply within!
We are partnering with one of the globes most forward thinking Investment Banks, especially when it comes to Machine Learning. The bank have gone through some tremendous changes over the last 12 months, putting technology and innovative ideas at the forefront of their business. As part of this change they have launched a brand new team of Data Scientists, tasked with researching and developing new trading ideas and strategies for institutional clients and hedge funds using only the latest and greatest within machine learning techniques.
The team is looking for passionate and talented Data Scientists with a background in Information Retrieval and Natural Language Processing (NLP). This is not your typical investment banking role! They require individuals with exceptional analytical and problem solving skills and a passion for finding solutions to real world problems. This is brand new role, working in a brand new team on purely greenfield projects – how much more exciting does it get?
As a member of the team you will be responsible for:
- Employing web retrieval and text mining techniques to facilitate the collection of publicly-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 macroeconomics insights.
- Working collaboratively with a team of data scientists to identify business problems, provide data-driven solutions and prove production-level products.
Skills Required:
- An MSc or PhD in Information Retrieval / Natural Language Processing with a solid background in statistical learning techniques associated with topic modelling 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.
- Strong programming skills in at least one object oriented programming language (Java, Scala, C++, Python).
- A track record of publications in the field of Data Science is highly desirable.
- Excellent oral and written communication skills, including the ability to present complex technical information to a generalist audience.
Please note that financial experience is not a requirement for this role. My client is looking to hire individuals that can make a real impact into the world of finance bringing new ideas to help solve the industries biggest problems!
For more information contact Jonathan directly at j.gilbert@mcpartners.co.uk