Principal Data Scientist - SAI Quant Support

Job Description:

Principal Data Scientist

The Principal Data Scientist (Quant Services) position is responsible for providing guidance and performing business, systems & data analysis around Quant services. This will include overseeing daily/weekly/monthly production cycles across Quant, responding to ad-hoc data analysis requests in support of projects performed by Quant Research Analysts and leading the resolution of any escalated requests/issues through close coordination with members from Quant Dev, Quant Research, Data Strategy, Global Data Services and Portfolio Engineering teams to insure timely remediation. The Senior Manager Data Strategy Data Strategy will play an important role in the coordination of all data-related tasks, business planning and prioritization within the SAI Quant domain. 

The Team

SAI Data Strategy team is responsible for building a center of data excellence within SAI to establish and implement best practices around Data Management, Quality, Distribution and Innovation.   Key functions of the team include data sourcing, ensuring good investment data quality and enabling effective data distribution & reporting within SAI and to its external partners. The team also leads business & data analysis, project management, data support for new product launches, regulatory & compliance data need fulfillment, marketing & communications material creation and advisor engagement like PI. Quant services represent a new function that is being introduced to the Data Strategy team which will help to expand the teams reach and expertise in areas previously not covered.

The Expertise We’re Looking For

• 6+ years hands on work experience.
• Bachelor’s degree required, Master’s degree preferred.
• Broad-based investment industry experience and proven analytical skills; experience with operations, business analysis, project management, and scorecard and metrics reporting.
• Experience in Asset Management or with Managed Accounts is a plus.
• Proficient with Microsoft Office suite; ability to produce executive-level PowerPoint presentations and manipulate data using Excel.

The Skills You Bring

• Strong SQL, knowledge and ability to compose complicated ad hoc queries.
• R, Python & Data Visualization or equivalent analytics tool experience a plus.
• Highly analytical with the ability to quickly comprehend large data sets in order to develop new processes, perform calculations, identify anomalies, and/or produce new reporting capabilities.
• Familiarity with quantitative analytics, including fund and index performance measurement, predictive risk modeling, alpha research, stock selection models, and performance attribution.
• Strong hands-on project leadership skills with the drive to complete complex projects as a part of small teams within an extremely fast paced environment.  Capability to liaise with investment professionals to gather requirements and manage deliverables of technical development teams.
• Knowledge of securities, corporate actions, financial statement analysis, street estimates, pricing and performance data.
• Perform various statistical analyses (e.g., portfolio risk analytics) and coding tasks (e.g., pattern recognition or machine learning).
• Highly proactive and self-motivated with the ability to meet objectives under minimal supervision.

The Value You Deliver

• Perform business, systems, data analysis and participate in process design and acceptance testing across projects that require Quant research content and investment analytics.
• Oversee daily/weekly/monthly production cycles across Quant.  Ensure all required input data is available, processes run successfully, output is acceptable, and reports are generated properly. 
• Respond to ad-hoc data analysis requests in support of projects performed by Quant Research Analysts and other Investment professionals within Strategic Advisers.
• Lead the resolution of any escalated requests/issues through close coordination with members from Quant Dev, Quant Research, Data Strategy, Global Data Services and Portfolio Engineering teams to insure timely remediation.
• Utilize deep understanding across all aspects of the Quant ecosystem including model construction,  inputs, outputs, definitions, calculations and any other meaningful information used within Quant / Portfolio Management environments.

Company Overview

Why Fidelity?

• A company that is committed to innovation and being an industry leader by investing in technology.
• More than 12,000 technology professionals utilizing an Agile methodology enterprise-wide.
• Access to top-tier technology platforms, tools and frameworks.
• Challenging positions and numerous opportunities for personal and professional growth.
• Competitive compensation and benefits package that includes bonus, health insurance, pension, life assurance and a variety of work/life programs.

Company Culture

At Fidelity, we reward ambitious, passionate individuals with a work environment that fosters diversity, teamwork and collaboration as well as encourages innovative ideas and fresh thinking. We recognize the value that employees’ individual differences can contribute to the bright and strong future of our company. 

At Fidelity, we are focused on making our financial expertise broadly accessible and effective in helping people live the lives they want. We are a privately held company that places a high degree of value in creating and nurturing a work environment that attracts the best talent and reflects our commitment to our associates. Fidelity established an Ireland presence in 1996 and we currently employ 1,700 staff across IT and shared services, with offices in Dublin (City West) and Galway (Parkmore East).

For information about working at Fidelity, visit www.fidelityinvestments.ie.

Fidelity Investments is an equal opportunity employer.

Category:

Data Analytics and Insights