01Key Responsibilities
Key responsibilities will include but will not be limited to the following: Support the development of machine learning solutions for Wealth Management use cases, with guidance from senior team members. Experiment with different modeling approaches (including newer techniques) to improve performance and learn best practices. Work with model risk and validation partners to help document, test, and confirm model behavior and controls. Support deployment and monitoring of models in production in partnership with ML Ops and engineering, including basic troubleshooting and performance checks. Assist with A/B tests or controlled experiments to measure impact and summarize results clearly. Collaborate with business and control partners (Risk, Legal, Compliance) to ensure solutions are usable and follow required standards. Create clear slides or performance readouts that communicate model results to business stakeholders. Experience: Bachelor's or Master's degree (preferred) in Computer Science, Engineering, Mathematics, Physics, or an equivalent quantitative field. Associate: A minimum of 3 years of experience in Machine Learning domain (overall 3-5 years), preferably in the financial services industry Required Skills: Possess theoretical knowledge and applications of machine learning algorithms in classification, regression, recommender systems, clustering, deep learning Proficiency in at least one of the modern programming languages (Python, C++, or a related language). Experience with code versioning systems such as Github, Bitbucket, and experiment tracking systems like ML Flow. Proficiency with computer science fundamentals in object-oriented design, data structures, and algorithmic design. Track record of working independently and solving problems creatively, as well as the ability to debug/maintain complex codes, with a strong sense of accountability and an eye for innovation Excellent oral and written communication skills, including the ability to present complex information in a clear and concise manner to audiences of various backgrounds/seniority; 2+ years in a client-facing position preferred Ability to work in a collaborative, transparent style within the team and with cross-functional stakeholders across the organization Preferred Skills: Experience with Cloud or Big Data technologies such as Azure, AWS, Google Cloud, Hadoop, or an .
