Filtr uses AI to scan 1000+ jobs and finds postings that perfectly matches your resume

Fidelity is looking to improve the quality and management of data used by Investment Professionals to generate alpha for investment products and customers. This role will help elevate organizational data proficiency and support targeted data initiatives by enhancing program efficiency, data quality, risk mitigation, and scalability.

Requirements

• Deep experience in data science, SQL, and Python / R skills
• Strong SQL skills or capacity to learn quickly; familiarity with other analytic technologies a plus (e.g., SAS, SQL, R, Python, BRIO, Tableau, Adobe Analytics)
• Ability to process unstructured / alternative data sets
• You are familiar or willing to learn web scraping techniques
• Knowledge in Web Scraping, extracting text from HTML
• Knowledge in RDBMS, ODBC, JDBC, and ODP.Net
• Knowledge in Bloomberg or FactSet

Responsibilities

• Perform data analytics to help solve business challenges and achieve data automation, reconciliation, traceability, lineage, and transparency.
• Use data analytics to provide actionable, timely and accurate data to drive business insights around technology enablement, digital transformation, and enterprise intelligence.
• Establish knowledge and fluency in data analytics methodologies within AM and assist in equipping the team with data analysis tools to analyze large datasets.
• Present reports and findings to senior level technical and non-technical audiences.
• Provide thought leadership in data governance and maintaining evolving expertise in data governance best practices.
• Support the framework, to ensure Fidelity’s data is of high quality and managed within a sound controls environment.
• Monitor Data Pipelines, Data Lineage, mapping data, transform data, and to load data in various data stores like Oracle, Snowflake, S3, and / or shared drives.

Other

• BA/BS Business/MIS/Computer Sciences or equivalent required
• Relevant experience with or exposure to enterprise data quality monitoring, leveraging analytics to drive business strategy
• Experience in identifying anomalies and patterns in data
• Experience in systems and/or data management. risk, compliance, financial services experience a plus.
• Experience in managing/monitoring data platforms with data driven objectives and with the ability to synthesize large sets of data