04 Jul, 2019

Analyst, Investment Analytics and Data

  • DataCareer GmbH
  • London, UK
Big Data

Töö kirjeldus - job description.

Investment Analytics & Data is a subset of the Research group within Dimensional, and a core member of the Investments team. The group is responsible for providing quality investment data and analysis to Portfolio Management, Trading, Research, Marketing and Client Services, including fund characteristics and index data, security reference data, and all other data crucial to the investment process and to downstream reports. Daily tasks involve running reports, evaluating results, and providing analysis to portfolio managers, traders, client servicing, and executives. Project work includes working to improve and increase efficiency of day-to-day and month-end systems, research-oriented projects that require a marriage of finance and technology to evaluate new strategies and/or changes to strategies, and larger projects to create new processes, systems, tools, and reports for analysis. All members of this group share responsibility for clean, accurate data delivery to internal as well as external clients. Attention to detail is crucial, as is inventiveness at finding different ways to analyze the relevant data. Success in the job, including career progression, will be driven by successfully maintaining the operational process driving Dimensional’s investments and executing on projects to enhance and improve these processes.

RESPONSIBILITIES

  • Your primary responsibilities will be to perform validation of investment data, ensure data accuracy, create and maintain reporting tools, and run processes key to portfolio-decision making.
  • Oversee various daily, weekly, monthly and quarterly data management and data reporting processes.
  • Partner with portfolio managers, traders, and client service teams to answer performance and reporting questions, assist with ad hoc requests, and collaborate within a global team to identify solutions to any issue.
  • Create, understand and interpret returns, characteristics, and attributions for portfolios and benchmarks.
  • Contribute to ongoing efficiency efforts to improve processes and tools. Suggest and act upon ways to improve data flow, data quality, and data consumption
  • Complete projects involving the collection, validation, analysis and presentation of data.

QUALIFICATIONS

  • Bachelor's degree or advanced degree preferred; degree (or minimally, some coursework) in Mathematics, Finance/Accounting, Computer Science/Electrical Engineering or similar preferred
  • 1-2 years’ professional work experience in the financial services industry especially data management and financial data analysis experience highly considered
  • Proficient communication skills, both written and verbal, with the ability to build lasting relationships with stakeholders
  • Self-starter who is capable of managing multiple tasks and meeting deadlines
  • Strong analytical and problem-solving capabilities with a keen attention to detail
  • Knowledge of T-SQL and databases in general highly considered, as so much of the job involves pulling data from databases and performing analysis
  • Aptitude for dealing with large datasets
  • Ability to work with details and ensure accuracy, while maintaining a big picture focus
  • Ability to clearly communicate ideas and solutions to technical and non-technical teams

It is the policy of the Company to provide equal employment opportunity for all applicants and employees. The Company does not unlawfully discriminate on the basis of race, color, religion, creed, sex, gender, gender identity, gender expression, national origin, age, disability, genetic information, ancestry, medical condition, marital status, covered veteran status, citizenship status, sexual orientation, or any other protected status. This policy applies to all areas of employment including recruitment, hiring, training, job assignment, promotion, compensation, benefits, transfer, discipline, termination, and social and recreational programs.


Olen huvitatud