Data Management Analyst - London, United Kingdom - eFinancialCareers

eFinancialCareers
eFinancialCareers
Verified Company
London, United Kingdom

1 month ago

Tom O´Connor

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Tom O´Connor

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Description

About Man Data Science


The Man Data Science group is a global, front-office central function which manages and owns the delivery of data to our investment teams that drive trading decision making.


The group is made of four areas:
data sourcing and strategy, data science analysts,data science engineering and data management.


The function seeks to unlock the value in data by engaging with investment teams, contribute to building scalable insights and evaluation methods and sourcing new data to increase data discovery for our investment teams.

The core value which unifies us isa passion to utilise science, technology, and data to enhance our investment process.


The Role


You will be working in a team that is responsible for investment data governance, financial and alternative data quality assurance, security master content and data lineage.

The team is dedicated to creating a better data experience for our investment teamsand entails learning the details of various vendor data sources we use.

The role offers ample chances to create a distinctive mark in our ongoing efforts to improve Man's investment data estate by building a state-of-the-art data platform.


The Team


The Data Management team is a team that is part of Man Data Science, comprising of analysts responsible for the management and maintenance of Man's security master content, identifier mapping capabilities and data cleansing infrastructure.

The team striveto contribute towards building a robust data management framework, including performing data analysis, building data dashboards, and implementing an optimised on-going data management process.


Working Here
Man Data Science has a start-up, no-attitude feel.

It is flat structured, open, transparent, and collaborative, and you will have plenty of opportunity to grow and have enormous impact on what we do.

We are actively engaged with the broader data and technologycommunity.


We're fortunate enough to have a fantastic open-plan office, and continually strive to make our environment a great place in which to work.


  • We organise regular social events, everything from photography through climbing, karting, wine tasting and monthly team lunches
  • We have annual away days and offsites for the whole team
  • As well as PCs and Macs, in our office you'll also find numerous pieces of cool tech such as light cubes and 3D printers, guitars, pingpong and tablefootball, and a piano.
  • We host and sponsor London's PyData and Machine Learning Meetups
  • We opensource some of our technology. See mangroup
We offer competitive compensation, a generous holiday allowance, along with various health and other flexible benefits.

We are also committed to continuous learning and development via coaching, mentoring, regular conference attendance and sponsoring academicand professional qualifications.

Responsibilities and Skills

We strive to hire only the brightest, best and most highly skilled, who are passionate about data and technology.


Responsibilities

  • Liaise with portfolio managers, research teams, execution, engineers, and data scientists from across the firm and serve as first level data support
  • Assist with enhancements, management, and maintenance of Man's security master content and identifier mapping capabilities
  • Support the curation and integrity of numerous varied data sets, financial and nonfinancial, and structured and unstructured in nature
  • Perform descriptive data analysis in order to plan and verify integration targets; understand and verify data characteristics including data shape, valid values and ranges, outliers, overall quality
  • Implement and maintain metadata documentation, data glossaries and data dictionaries
  • Identify data integrity gaps and required root cause remediation
  • Catalogue vendor data and metadata related to Man's investment data services
  • Curate and present relevant data analysis and technical documentation to build and maintain an updated, accurate and accessible knowledge store.

Essential

  • Experience with data and data wrangling, preferably in a finance or financerelated firm
  • Programming skills in Python and SQL
  • Familiarity with data from a financial data aggregator(s) (e.g. Refinitiv, FactSet, S&P, IHS, Bloomberg) preferred
  • Demonstrate evidence of strong analytical and communication skills, both written and oral

Advantageous

  • Working knowledge of databases, Linux / UNIX, Git, Jira is preferable
  • Familiarity with one or more relevant database technologies e.g. Oracle, MongoDB
  • Experience working with large datasets

Personal Attributes

  • Strong academic record and higher education degree with high mathematical and computing contend e.g. computer science, mathematics, finance
  • Handson attitude; willing to get involved with data and projects across the firm
  • Selforganised with the ability to effectively manage time across multiple projects and with competing business demands and priorities
  • Strong interpersonal skills; able to establish and maintain a close working relationship with quantitative researchers, technologist, traders and senior business people alike
  • Confident communicator; able to argue a point concisely and deal positively with conflicting views.
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