Senior Manager of Predictive Analytics

Ameriprise Financial has an exciting opportunity for a Senior Manager of Predictive Analytics to join the team! This role will provide the opportunity to leverage sophisticated analytics to profile key characteristics of successful advisors. The individual in this position will play an integral role in leading projects from design through implementation and monitoring; building financial based models and tools for complex analysis across the advisor population to help accomplish goals and objectives.

Key Responsibilities

• Identify, develop and implement complex analytical solutions leveraging tools such as predictive modeling, simulation, optimization solutions, etc.  Ensure continued accuracy, relevancy, and effectiveness and track process improvements once deployed.
• Curate and structure data for optimal use in analytics as it relates to advisor risk metrics.  Provide insights into quality, and completeness of data and other standard risk metrics to facilitate.
• Under direction of the Sr. Leader, collaborate 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 leading to solutions for advisor performance and risk, making recommendations for action as appropriate.
• Provide direct and/or indirect leadership and lower-level analysts including; coaching, development and sharing of expertise to drive team results.
• Ensure adherence to data and model governance standards that are set and enforced by industry standards and/or enterprise and business unit data governance polices and leaders.

Required Qualifications

• 5-7 years of experience in a finance or quantitative risk role
• Master’s degree or equivalent with focus in finance, math, statistics, economics or quantitative field
• Experience conducting hands-on analytics projects using advanced statistical methods such as generalized regression models, Bayesian methods, random forest, gradient boosting, neural networks, clustering, or similar methodologies.
• Experience with statistical programming (R, Python, SQL etc.) & data visualization software
• Proven ability to present/communicate complex, technical materials in a way that facilitates decision making and drives outcomes; ability to communicate to less technical partners.
• Ability to work effectively in a collaborative team environment.

Preferred Qualifications

• In-depth knowledge of financial services industry with a focus in risk and ability to articulate key concepts to others.
• Strong relationship and communication skills in influencing across multiple business areas on recommendations and analysis results and the ability to clearly articulate complex analytical concepts.
• Experience working in an AWS environment.

About Our Company
We’re a diversified financial services leader with more than $1 trillion in assets under management and administration as of 2022. Our team of 20,000 people in more than 20 countries, advise and manage assets and income of more than 2 million individual, small business and institutional clients. We are a longstanding leader in financial planning and advice, a global asset manager and an insurer. Our unwavering focus on our clients and strong financial foundation connects each of our unique businesses - Ameriprise Financial, Columbia Threadneedle Investments and RiverSource Insurance and Annuities. Here, we foster meaningful careers, invest in the future, and make a difference for clients, institutions and communities around the world.

The estimated base salary for this role is $128,400 - $173,300/ year. We have a pay-for-performance compensation philosophy. Your initial total compensation may vary based on job-related knowledge, skills, experience, and geographical work location. In addition, most of our roles are eligible for variable pay in the form of bonus, commissions, and/or long-term incentives depending on the role. We also have a competitive and comprehensive benefits program that supports all aspects of your health and well-being, including but not limited to vacation time, sick time, 401(k), and health, dental and life insurances.

Full time

Exempt

Data

FIN Finance