Data Scientist

• Company

  Citi

• Location

  UK-London

• Remuneration

  Competitive salary offered

• Position Type

  Permanent

• Employment type

  Full time

• Updated

  30-Oct-2013

• eFC Ref no

  1300186

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An exciting opportunity exists to join Citi Research as a Data Scientist within its Management Information Group.

Location: New York or London

Job Description

Job Purpose:

An exciting opportunity exists to join Citi Research as a Data Scientist within its Management

Information Group. The successful candidate will be responsible for helping to design, build and

implement our Big Data capability used to shape Citi Research's business strategy.

Job Background/context:

Citi Research is a highly respected research unit and is comprised of more than 300 research analysts in more than 30 locations around the world. Citi Research covers more than 3,000 companies, representing over 90 percent of the market capitalization of the major global indices, and provides macro and quantitative analysis of global markets and sector trends. Combined with Citi's exceptional sales and trading capabilities the core focus of the group is to help investing clients make informed decisions by providing differentiated, value-added, independent, insightful analysis.

Key Responsibilities:

The person will be expected to utilize statistical analysis and data mining techniques, as well as formulate algorithms to identify patterns in both structured and unstructured datasets. These patterns and insights will be used to drive optimization of our business.

Person Specification

Knowledge/Experience:

Minimum two years of experience in a Data Scientist role or significant graduate level coursework in this area.

Previous experience within a Big Data environment or with very large and complex datasets.

Previous experience with data mining, algorithms, machine learning

Familiarity with data visualization tools, for example, Tableau.

Skills:

Financial Industry knowledge; an understanding of, and keen interest in, the Research and/or Financial

Markets industry.

Interest in learning and applying new technologies and applications.

Ability to gather, validate, and analyze large complex information sets; understand the meaning of the data and how it applies to end users; and be able to extrapolate trends into actionable insights.

Capable of working in a dynamic rapidly changing environment whilst sensitively managing confidential information.

Excellent verbal, comprehension and written communication skills (English)

Ability to work under pressure, within tight time-lines and strict attention to detail. Strong client focus, ownership, urgency and drive.

Qualifications:

Bachelors or Masters degree with emphasis in one or more of the following: Big Data, Data Science, Computer Science, Computer Engineering, Operations Research, Statistics, Mathematics or Equivalent Quantitative Discipline

Competencies:

Proficiency in Python, SQL, R, SAS, Stat, Matlab or other statistical or programming language.

Valuing diversity: Demonstrates an appreciation of a diverse workforce. Appreciates differences in style or perspective and uses differences to add value to decisions or actions and organizational success.

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