Addepar is a comprehensive technology and data platform designed to streamline wealth management for investment professionals globally. It empowers firms with sophisticated tools to manage complex investment portfolios, offering features like data aggregation, portfolio trading, portfolio modeling, and fee tracking. With over $6 trillion in assets managed, Addepar serves a variety of financial services including wealth managers, family offices, private banks, and broker-dealers. It supports more than 45 markets worldwide and provides customizable reporting and integration solutions, facilitating better decision-making and client satisfaction.
501 - 1000 employees
Founded 2013
πΈ Finance
π³ Fintech
βοΈ SaaS
π° $130M Corporate Round on 2021-11
March 26
πΊπΈ United States β Remote
π΅ $93k - $145k / year
β° Full Time
π‘ Mid-level
π Senior
π§βπ» Full-stack Engineer
π¦ H1B Visa Sponsor
Addepar is a comprehensive technology and data platform designed to streamline wealth management for investment professionals globally. It empowers firms with sophisticated tools to manage complex investment portfolios, offering features like data aggregation, portfolio trading, portfolio modeling, and fee tracking. With over $6 trillion in assets managed, Addepar serves a variety of financial services including wealth managers, family offices, private banks, and broker-dealers. It supports more than 45 markets worldwide and provides customizable reporting and integration solutions, facilitating better decision-making and client satisfaction.
501 - 1000 employees
Founded 2013
πΈ Finance
π³ Fintech
βοΈ SaaS
π° $130M Corporate Round on 2021-11
β’ Be at the forefront of exciting data initiatives at Addepar! β’ Help shape the future of data management in the financial world by contributing to a state-of-the-art financial lakehouse. β’ Create innovative solutions that address the evolving needs of the financial industry, enabling our clients to make data-driven decisions with confidence. β’ Design, develop, and deploy cutting-edge automated workflows and tools that drive operational efficiency, minimize manual errors, and deliver exceptional client experiences. β’ Collaborate with cross-functional teams to integrate automated solutions with existing systems and tools, ensuring data integrity, seamless workflows, and minimal disruptions.
β’ Hold a Bachelor's degree or higher in Computer Science, Software Engineering, or a related field, with a strong foundation in computer systems, programming languages, and software development methodologies β’ Proficient in Python programming, with a focus on automation, scripting, and data manipulation β’ Strong ownership of your work and a willingness to take on new challenges β’ Eager to learn and grow with our team, with a focus on automation, data science, and innovation β’ Nice to have: experience with PySpark, Databricks, or other big data technologies, as well as UI frameworks such as Streamlit or Dash
β’ bonus β’ equity β’ benefits
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