Machine Learning Technical Specialist

Greensill

United Kingdom
  • Job Type: Full-Time
  • Function: IT
  • Post Date: 02/08/2021
  • Website: greensill.com
  • Company Address: 1 Southampton Street, London, WC2R 0LR, GB

About Greensill

Greensill is the market-leading provider of working capital finance for companies globally. We unlock capital so the world can put it to work. Founded in 2011 by Lex Greensill, the company is headquartered in London with offices in New York, Chicago, Miami, Frankfurt, Bremen, and Sydney, with more than 500 specialists worldwide. Greensill provides Supply Chain Finance to customers across Europe, North America, Latin America, Africa and Asia and works with a host of banks and institutional investors to provide solid funding streams to underpin the process. But we are about much more than Supply Chain Finance. Greensill uses the power of financial markets to unlock capital on terms that fit the precise requirements of our clients, from 20 days to 20 years and beyond.

Job Description

Daresbury, UK

Role Purpose:

Implement financial projects in a variety of languages and platforms for financial prediction and machine learning use cases. Manage coding resources and liaise with technology group for productionization.

Accountabilities:

  • Manage the implementation of ML projects and AI initiatives, and manage junior coding resources
  • Proactively work across the research and technology groups as part of the implementation of new and innovative projects
  • Work on business-enhancing projects with a flexible approach to developing new ideas and approaches
  • Leverage a range of state-of-the-art tools and techniques that provide robust, high-quality proofs of concept for ongoing technical projects
  • Manage and deliver research projects as required, including machine learning use cases, cashflow scoring and prediction
  • Work with other business areas to understand business requirements and how they should be implemented within Research and ML/AI projects

Skills and Abilities:

  • Highly numerate with at least a BSc in Mathematics, Computer Science, Statistics, Data Science, Physics, Engineering, or similar fields.
  • Preferably with experience in software development.
  • Exposure to programming in any of the following:
  • Python and associated libraries:
    • Num-py, Sci-py, Pandas, Stats-models
    • Graphics and Plotting Utilities: Matplotlib, Seaborn, Plotly / Plotly-Dash, Bokeh
    • Machine Learning: Scikit-Learn, Keras, Tensorflow, Pytorch, Spacy
    • Misc: NLTK / Stanford Core-NLP, NetworkX, Various SQL connector packages
  • SQL: Basic knowledge of data selection, joins, group by aggregation and database
  • Anaconda and Pip, with understanding of virtual environment functionality, uses, and package management
  • Pycharm or similar integrated development environment
  • Exposure to Jupyter Notebooks and Jupyter Labs
  • Amazon Web Services, including Amazon Workspaces, e3, and Athena instances
  • Proficiency in both Linux and Windows operating systems
  • Various data storing / viewing formats: excel, csv, tsv, pickle, json, geojson (etc.)
  • Adherence to coding standards (e.g. PEP 8) and excellent documentation skills.
  • Desirable coding skills: HTML, CSS, and Bootstrap 
  • Excellent organisation and prioritisation skills
  • Ability to reduce complex ideas into simple explanatory format for non-technical parties
  • Thrives in a collaborate teamworking environment
  • Ability to think creatively, develop, present, set goals and deadlines, and deliverables
  • Acts with honesty and integrity
  • Curious and resourceful – seeks out difficult questions and finds solutions
  • Resilient, able to learn from mistakes and move forward
  • Flexible, adaptable and able to deal with ambiguity
  • Collaborative, thrives when working towards shared goals

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Disclaimer: Local Candidates Only
This company does NOT accept candidates from outside recruiting firms. Agency contacts are not welcome.