Lead Data Scientist

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🕒 March 16

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Ameriprise Financial Services, LLC

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 1894

💸 Finance

💳 Fintech

Finance • Fintech

Ameriprise Financial Services, LLC is a leading provider of personalized financial planning and advice. The company emphasizes one-to-one financial advice to help clients reach their unique financial goals and offers complimentary consultations with its financial advisors. Ameriprise is well-regarded in the investment industry, providing award-winning service focused on client satisfaction. With the support of their Investment Research Group, Ameriprise advisors provide clients with objective research, actionable investment strategies, and ongoing market and economic analysis. The company also prioritizes online security and privacy for clients accessing their accounts and financial documents online.

📋 Description

• Identify, develop and implement increasingly complex analytical solutions leveraging tools such as predictive modeling, advanced machine learning techniques, simulation, optimization solutions, etc. • Engage collaboratively with business leaders and/or analysts to provide analytical thought leadership and support for business problems • Identify and interpret business needs, define high-level business requirements, strategy, technical risks, and scope • Develop, document, and communicate business-driven analytic solutions and capabilities, translating modeling and analytic output into understandable and actionable business knowledge • Manage dataset creation including data extraction, derived and dependent variable creation, and data quality control processes for analytics, model development, and validation • May monitor execution of analytical solutions, including criteria specification, data sourcing, segmentation, analytics, selection, delivery, and back-end data capture results • Contribute to ongoing expansion of data science expertise and credentials by keeping up with industry best practices, developing new skills, and knowledge sharing • Work cross functionally to develop standardized/automated solutions and adopt best practices • May provide technical advice and coaching to business analysts on best practices for usage and application of analytic output • Embed analytic programs and tools • Ensure continued accuracy, relevancy, and effectiveness and track process improvements once deployed • Ensure adherence to data and model governance standards that are set and enforced by industry standards and/or enterprise business unit data governance policies and leaders • May lead or provide informal leadership to a team of analytic resources

🎯 Requirements

• Extensive experience in Asset Management or Financial Services • Strong experience partnering with senior leaders to drive aligned, data informed decisions and business outcomes • Knowledge of advanced statistical concepts and techniques, e.g. skilled in linear algebra • Experience conducting hands-on analytics projects using advanced statistical methods such as generalized regression models, Bayesian methods, random forest, gradient boosting, neural networks, machine learning, clustering, or similar methodologies • Experience with statistical programming (Python, SQL are must-haves while other programing languages like SAS and R are preferred) & data visualization software in a data-rich environment • Demonstrated project experience while working with AWS/Azure/Snowflake • Proven executive presence communication skills, with the ability to translate complex digital performance data into clear, actionable insights that influence prioritization and investment; ability to communicate to less technical partners • Proven ability to apply both strategic and analytic techniques to provide business solutions and recommendations • Ability to work effectively in a collaborative team environment

🏖️ Benefits

• Health insurance • Retirement plans • Paid time off • Flexible working arrangements • Professional development