This job has expired

Data Science Analyst - Investment Management

Employer
Michael Page International
Location
UK
Salary
Competitive
Closing date
26 Jun 2022

View more

Sector
Accountancy
Contract Type
Permanent
Hours
Full Time
You need to sign in or create an account to save a job.
  • A major global investment management firm
  • Looking for a new Data Science Analyst to join their team in London
About Our Client
Data Science Analyst - Investment ManagementThe organisation is a major global investments management firm The Team
  • The Data Science analyst team focuses on acquiring, cleaning, and analysing large, unstructured data sets.
  • The team work closely with the investment teams including research and portfolio managers, to generate new insights from data and lead enhancements in their data science platform that enables data-driven decision making.
Job Description
Data Science Analyst - Investment ManagementThe organisation's Data Science group is a global, front-office central function which manages and owns the delivery of data to 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 Role as a Data Science Analyst
  • You will use your specific and general skills to support the quantitative research and portfolio management teams and contribute to high quality alpha trading models.
  • On some projects you will act as a subject matter expert, providing support and delivering high quality exploratory data analysis and insights.
  • You will have responsibilities ranging from data vendor scoping through to data ingestion, exploratory analysis and prototyping a robust production data pipeline.
  • The team's aim is to provide a consistent and scalable approach to data delivery and analysis along with low touch data management processes.
  • This is delivered through a series of small self-managed projects with the analyst working with the relevant investment team whilst working closely with our data science engineers and data commercial and sourcing teams.

Responsibilities
  • Collaborate with data sourcing and commercial management, compliance, data science engineers, research, portfolio management, operations and technology to understand investment needs and manage the on-boarding process of new diverse data sets.
  • Perform thorough data vendor comparison analysis covering data integrity, coverage and aggregation methodologies.
  • Analysis and evaluation of datasets to assist investment teams with finding alpha signals
  • Develop large-scale data analytic capabilities to extract insights from structured and unstructured data.
  • Build automated processes for reviewing and analysing diverse sets of information
  • Support the analytical needs of investment teams inclusive of cleansing, mapping, statistical inferences, feature engineering and the bespoke data visualisation methods required by each project.
  • Contribute towards building a robust data pipeline; including performing data analytics, building data dashboards and implementing an optimised on-going data management process.
  • Curate and present relevant research and technical documentation to build and maintain an updated, accurate and accessible knowledge store.
  • Contribute to initiatives across the Data Science group to expand and improve the firm's data ecosystem.
  • Conduct industry research to identify new initiatives in financial markets, market data and alternative data.
The Successful Applicant
Data Science Analyst - Investment ManagementRequirements
  • Strong academic record and higher education degree with high mathematical and computing content e.g. computer science, mathematics, physics, statistics or another disciplines involving technical and quantitative analysis techniques.
  • Proven experience and fluency with data analysis techniques in SQL and an object-oriented language, preferably Python, along with relevant libraries e.g. NumPy/SciPy/Pandas.
  • Previous experience with reporting and visualisation, preferably using python, and creating technical solutions for operation and data related tasks/processes.
  • Working knowledge of Mongo DB, Linux / UNIX, G.i.t, Jira is preferable.
  • Demonstrate evidence of strong analytical and communication skills, both written and oral.
  • Financial industry experience preferred.
  • Excellent attention to detail.
  • Self-organised with the ability to effectively manage time across multiple projects and with competing business demands and priorities
What's on Offer
A basic salary of up to 88,000 (dependent upon experience)Annual bonus & excellent company benefitsFlexible/Hybrid working policy
ContactJames McMillanQuote job refJN-052022-5622274Phone number+44 799 098 5136Job summary Sector Technology Subsector Data Analysis Sector Financial Services Location London Contract type Permanent Consultant name James McMillan Consultant phone +44 799 098 5136 Job reference JN-052022-5622274
You need to sign in or create an account to save a job.

Get job alerts

Create a job alert and receive personalised job recommendations straight to your inbox.

Create alert