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.

Note: If you are a FINRA registered internal employee who is considering moving to a non-licensed role, you may want to proactively have a conversation with the hiring manger to understand the potential impact to your registrations before a final hiring decision is made.

Salary Grade: 5

Organization: FI Analytics & Commercialization

Category: Information Technology

Employee Referral Bonus:

Certifications: