Offers “HSBC”

Expires soon HSBC

Machine Intelligence Analyst

  • London, UNITED KINGDOM
  • Studies / Statistics / Data

Job description



Role Title: Machine Intelligence Analyst

Business: Digital - RBWM

New or Existing Role: New

Grade: GCB5

Role Purpose

· Figure out how systems, trends and business strategies fit together through manipulating data or technologies using a original mix of advanced mathematics (beyond regression) and or developing new methodologies with novel data & technology. Leverage technologies to identify asymmetry with open source intelligence, advance analytics and machine intelligence capacities. Apply network thinking to cultivate higher resolution decision making and thinking, while quantifying and solving for ambiguous business problems. Stay ambiguous to methods to solve problems, but will be biased in it's use of machines to analyze and weight information and connect data, in a holistic manner, from work streams across the business, at the alpha stage of strategic ideation. Hybrid – Business Consultant/Data Scientist. Good at both data science and translating the former to understand business needs.
· Use network analysis to analyse domains with data on HSBC products, as well as issues that might effect the bank (political or competition) .
· Make sense of and identify disparate concepts within domain through network analysis e.g. Quid, in addition to tools like Google Trends or Tableau. Knowledge of mathematics/statistics is expected.
· You will be asked to push beyond narration of data and what machines are able to analyze, into something directly empathetic to the organizational assets.

Desired profile



Qualifications :

·  Good handle on visualization in D3, RAW, Dashboards, Excel, Slack, working with machines/bots.
·  Experience with Primer AI, Quid, Quandl ,Google Trends, Gephi, Tableau, Quid, Ayasdi, and open source intelligence analysis.
·  Make sense of Economic, internal and alternative data sets understands the difference between supervised, unsupervised and semi-supervised learning.
·  Good handle on visualization in Dashboards, Excel, Slack, working with machines/bots.
·  1-3 year doing the former.
·  knowledge of python, H2O AI and TensorFlow, neo4j, JSON, pandas

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