Director, Fundamental Data

London, GBR

FactSet

FactSet provides business data to power your workflow, valuable market analytics to help you outperform, and global market insights to give you perspective.

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FactSet creates flexible, open data and software solutions for over 180,000 investment professionals around the globe. We stay ahead of global market trends, power robust company and industry research, and provide comprehensive data with our market-leading solutions.

FactSet Fundamentals provides access to current, comprehensive, and comparative information on securities across global markets, both developed and emerging. This data set includes annual and interim/quarterly data, detailed historical financial statement content, per share data, and calculated ratios, all carefully structured to offer users essential information from a broad, global investment perspective. FactSet is actively enhancing this data set by focusing on developing a more granular industry offering, thereby improving its analytical capabilities and reach across new users. This progression will cement FactSet’s position as a leader in delivering actionable, high-quality financial data that meets the dynamic requirements of the global investment community.

 

The Head of Data for Fundamentals at FactSet will oversee our Fundamental Data Quality strategy, working closely with Operations, Engineering, and Product Development teams. The Fundamental data creation process is undergoing a multi-year modernization effort. This role will provide strategic leadership, guide technical development, and coordinate operational resourcing to ensure overall success.

 

Key Responsibilities:

  • Develop and implement the Fundamental Data Quality strategy in collaboration with Operations, Engineering, and Product.
  • Innovate and maintain self-sustaining validations within the data creation process to ensure product quality and optimize resources.
  • Lead the development and execution of a clear product quality roadmap, aligning with the company's modernization initiatives.
  • Establish and communicate clear SLAs and performance metrics to enhance quality transparency across the organization.
  • Spearhead the development of testing methodologies and best practices, adhering to product specifications and quality expectations.
  • Oversee and actively engage in testing activities, integrating new processes that align with the modernization of product creation.
  • Build and maintain collaborative relationships across cross-functional teams, including Product, Operations, Engineering, and Support.
  • Conduct consumer research and integrate feedback into the product development cycle to effectively address customer concerns.
  • Continuously improve data management systems to enhance data quality and stability.

 

Skills and Qualifications:

  • Bachelors' degree
  • 10 + years of relevant, global management experience in a complex matrix organization
  • Expert knowledge of data collection quality practices, methodologies, and processes within the FinTech and/or Financial Services sectors
  • Strong knowledge of financial data and associated testing practices
  • Demonstrated ability to lead without authority and interact with C-level management.
  • Proven track record of leadership, alignment, and collaboration on strategic initiatives
  • Strong knowledge of financial data and associated testing practices
  • Excellent presentation and communication skills
  • For U.S. candidates, must be legally authorized to work in the United States without the need for employer sponsorship now or at any time in the future

The budgeted salary amount range for this position in the states of Connecticut and NY is $144,000 - $200,000

Desired Skills:

  • Solid understanding of financial data sets and experience transitioning from traditional practices to a more modern data creation pipeline, effectively blending manual and automatic testing methods to uphold quality standards
  • Experience with the evaluation, adoption, and integration of new technologies,
  • Programming skills, particularly in data science technologies such as Python
  • Ability to influence technology and business decisions across multiple departments and collaborate effectively with various groups at all levels of the organization will also be fundamental to success in this role.

What's In It For You

At FactSet, our people are our greatest asset, and our culture is our biggest competitive advantage. Being a FactSetter means:

  • Contributing to a firm with over 40 years of consecutive growth, named a 2023 Best Place to Work by Glassdoor and led by a top-rated CEO Talent Champion.
  • Support for your total well-being. This includes health, life, and disability insurance, as well as retirement savings plans and a discounted employee stock purchase program, plus paid time off for holidays, family leave, and companywide wellness days.
  • Flexible work accommodations. We value work/life harmony and offer our employees a range of accommodations to help them achieve success both at work and in their personal lives.
  • A global community dedicated to volunteerism, sustainability, and inclusivity, where collaboration is always encouraged, and individuality drives solutions.
  • Career progression plans with dedicated time each month for learning and development.
  • Employee-led Business Resource Groups that align with our DE&I strategy and are wholly supported by Executive Management.

Learn more about our benefits here.

At FactSet, we celebrate diversity of thought, experience, and perspective. We are committed to disrupting bias and a transparent hiring process. All qualified applicants will be considered for employment regardless of race, color, ancestry, ethnicity, religion, sex, national origin, gender expression, sexual orientation, age, citizenship, marital status, disability, gender identity, family status or veteran status. FactSet participates in E-Verify.

Salary is just one component of our compensation package and is based on several factors including but not limited to education, work experience, and certifications.

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Tags: Data management Data quality Engineering FinTech Python Research Testing

Perks/benefits: Career development Competitive pay Equity / stock options Flex hours Flex vacation Health care Insurance Startup environment Transparency Wellness

Regions: Europe North America

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