Job Description:
The Role
In this role, candidate will be part of the squad that will be working on FundsNetwork Analytics and Insights team.
The ideal candidate in this role will:
Develop, optimize and maintain scalable Python-based data-driven solutions and automation workflows that deliver insights and empower decision making
Write high quality, reusable and efficient code in Python and SQL
Integrate large and complex datasets from multiple data sources into Python workflows
Utilize software engineering principles to automate (previously manually generated) analytics and reports, develop new ones, and monitor and maintain workflows to ensure accuracy and reliability
Ingest, clean and prepare data to perform extensive exploratory data analysis
Create custom visualizations (in Python) to provide advanced analytical insights to clients
Contribute to the validation and selection of appropriate summary statistics to describe complex data sets and generate actionable insights
Collaborate with multiple stakeholders (data engineers, developers, analysts and scientists) along the analytics development lifecycle to deliver high quality product(s)
The Expertise and Skills You Bring
Education: BS/MS in Software Engineering, Computer Science, Advanced Analytics, Data Science, or a related field
Problem Solving and Analytical Skills: Strong problem-solving skills, mathematical thinking and analytic skills working with both structured and unstructured datasets
Experience: 3-5 years of strong software (Python and SQL) development experience with a desire to work on a fast-paced development team
Programming/Software Development: Proven experience developing with object-oriented/object function scripting languages like Python, with good knowledge of version control systems like Git
Data Analysis: Experience in performing explorative data analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement. Hands-on with python libraries like pandas, numpy and scipy
Data Visualization: Comfortable working with data visualization libraries like matplotlib, seaborn and plotly
Proficiency in SQL/Databases: Strong SQL knowledge and experience in data querying, manipulation, filtering and optimization. Experience with different kinds of databases
Distributed Computing: Basic understanding of distributed computing principles and working knowledge of big data tools such as Spark, Hadoop, Kafka, Hive, Impala, and Snowflake preferred
Cloud Computing: Basic knowledge of cloud computing concepts (AWS) and of deploying and managing applications in the cloud
The Team
The FundsNetwork Analytics and Insights team exists to provide our third-party asset manager clients with distribution business intelligence to support the growth of their business. In addition to completing custom consulting projects for the some of the largest asset managers in the industry, our team shares on-platform sales trends through quarterly publications and webinars and supports the data needs for our internal FundsNetwork partners.
Fidelity’s hybrid working model blends the best of both onsite and offsite work experiences. Having the majority of our associates work onsite is important for our business strategy and our culture. We also value the benefits that working offsite offers associates. Most roles listed as Hybrid will require associates to work onsite all business days of every other week in a Fidelity office. This does not apply to roles listed as Remote or Onsite.
Certifications:
Category:
Information TechnologyMost roles at Fidelity are Hybrid, requiring associates to work onsite every other week (all business days, M-F) in a Fidelity office. This does not apply to Remote or fully Onsite roles.
Please be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.