Analyst - Advanced Analytics

LPL Financial•Fort Mill, SC

About The Position

Where Ambition Meets Innovation Build a career that matches all your initiative with an impressive dose of innovation. From cutting-edge resources and a collaborative environment to the freedom to make an impact and more, you’ll find the ingredients you need at LPL Financial to shape your success while helping clients pursue their financial goals. Job Overview: The Analyst will primarily contribute to the launch and continued success of a Next Best Action (NBA) program at LPL. The NBA program delivers alerts derived from business logic as well as machine learning. The analyst will be responsible for discovering new alerts, validating existing alerts, and providing enhancements based on end user feedback. As this role is situated within a Data Science team, this is a great opportunity for someone who wants to develop both their data engineering and machine learning skills. Please note: Additional responsibilities or duties may be assigned to you as needed or determined

Requirements

Bachelor's degree in Decision Information Science, Engineering, Mathematics, Finance, Economics, or related discipline
2+ years of related work experience in an advanced analytics or data science role supporting sales, finance, marketing, or operations
2+ years of experience with a programming or scripting languages (e.g. Python, R)
2+ years of experience working with relational databases (e.g., SQL Server, Oracle, Snowflake), distributed technologies (e.g., Hadoop, Spark) and cloud-based platforms (e.g., AWS, Azure)

Nice To Haves

Some experience with building and working with machine learning models preferred
Exceptional problem-solving skills that enable efficient identification of issues, development of hypotheses, and the execution of robust quantitative analyses to answer business questions

Responsibilities

Leverage data from various sources to identify, create and validate impactful alerts and signals for our financial advisors/clients
Collaborate with business users as well as technology partners to build the most impactful and feasible solutions possible
Partner with various Data & Analytics functions, such as Advanced Analytics, Data Strategy, and Digital Analytics to ensure consistent frameworks and receives feedback on products
Develop an understanding of how data and machine learning can impact financial advisors’ practices
Build and collaborate on working prototypes of machine learning/AI solutions
Conduct ad-hoc analyses as appropriate to support priority business projects; respond in a timely manner to ad hoc questions from executives