Data Vendor Analyst

2 weeks ago

London, Greater London, United Kingdom G-Research Full time
Do you want to tackle the biggest questions in finance with near infinite compute power at your fingertips?

G-Research is a leading quantitative research and technology firm, with offices in London and Dallas. We are proud to employ some of the best people in their field and to nurture their talent in a dynamic, flexible and highly stimulating culture where world-beating ideas are cultivated and rewarded.

This is based in our new Soho Place office - opened in in the heart of Central London and home to our Research Lab.

The role

Data Vendor Analysts at G-Research are integral in co-ordinating the life cycle of numerous diverse data sets as they progress through the trial and on-boarding process.

The Datapack Research and Delivery team sits at the forefront of the companys data strategy, responsible for finding solutions to some of the many important data challenges within the firm, providing a unique opportunity to make an impact from the beginning.

The successful candidate will be comfortable working within a multi-disciplinary team, collaborating with industry leading data scientists and financial experts and developing solutions that adapt to a rapidly changing data landscape.

Key responsibilities of the role include:
Researching and identifying potential new data sources, including vendors, financial databases, and open data repositoriesEvaluating the relevance, quality, and reliability of data sources for quantitative analysisDeveloping and maintaining strong relationships with data vendors, fostering collaboration and communicationMonitoring vendor performance, ensuring data feeds meet our quality and timing requirementsDesigning and implementing a robust categorisation framework for financial data, considering the specific needs of our quantitative analysis teamCollaborating with data scientists and analysts to understand data categorisation requirements and prioritiesWorking closely with data vendors to rectify data anomalies, errors, or inconsistenciesMaintaining documentation of data quality standards and proceduresAssisting the Data Engineering team in integrating acquired data into our data infrastructureCollaborating to ensure seamless data flow and accessibility for research and analysisMonitoring and optimising data pipelines for efficiency and reliabilityDocumenting data sources, categorisation methodologies, and quality control procedures for reference
Who are we looking for?

The ideal candidate will have the following skills and experience:
A background in finance, economics, mathematics, computer science, or a related field; CFA/FRM Qualification is desirableProven experience in trading and investment data analysis, or a similar role within FinanceExperience in managing vendor relationships and contract negotiations, coupled with a strong knowledge of financial instruments, markets, and data sourcesAn analytical mind set, with excellent problem-solving skillsStrong communication and collaboration abilitiesAttention to detail and commitment to data integrityProficiency in programming languages, such as Python, is preferredKnowledge of data visualisation tools, such as Tableau, is a plus
Why should you apply?
Highly competitive compensation plus annual discretionary bonusLunch provided (via Just Eat for Business) and dedicated barista bar30 days' annual leave9% company pension contributionsInformal dress code and excellent work/life balanceComprehensive healthcare and life assuranceCycle-to-work schemeMonthly company events

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