Ameriprise Financial Services, LLC
Data Science Manager
Ameriprise Financial Services, LLC, Minneapolis, Minnesota, United States, 55400
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Data Science Manager
role at
Ameriprise Financial Services, LLC
Play an integral role in supporting modeling and data analysis, budget execution, and the FinOps needs of the business. Manage the creation and/or usage of large data sets, providing information‑based decision logic and predictive modeling solutions, and translate modeling/analytic output into understandable/actionable business knowledge, insight and applications. Demonstrate strong technical/problem solving skills and support multiple projects collaboratively.
Key Responsibilities
Identify, develop, and implement complex analytical solutions leveraging tools such as predictive modeling, advanced machine learning techniques, simulation, optimization solutions, and risk management purposes.
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.
Identify and execute targeting and optimization opportunities while consulting and coordinating execution with asset owners.
Under direction of the Sr. Leader, collaborate with business leaders and/or analysts to provide analytical thought leadership and support for business problems.
Embed analytic programs and tools, ensuring continued accuracy, relevancy, and effectiveness and tracking process improvements once deployed.
Ensure adherence to data and model governance standards set by industry and enterprise policies.
Contribute to ongoing expansion of data science expertise and credentials by keeping up with industry best practices, developing new skills, and knowledge sharing.
Required Qualifications
Master’s degree or equivalent in a quantitative discipline (Finance, Statistics, Computer Science, Actuarial Science, Economics, Engineering, etc.).
5‑7 years relevant experience.
Knowledge of advanced statistical concepts and techniques; skilled in linear algebra.
Experience conducting hands‑on analytics projects using generalized regression models, machine learning, clustering, or similar methodologies.
Experience with statistical programming (SAS, R, Python, SQL, etc.) and data visualization software in a data‑rich environment.
Proven ability to present/communicate complex, technical materials in a way that facilitates decision making and drives outcomes.
Proven ability to apply both strategic and analytical techniques to provide business solutions and recommendations.
Ability to work effectively in a collaborative team environment.
Preferred Qualifications
3+ years of experience in statistical modeling and the collating processes necessary to create modeling data.
Experience with cloud services and big data technologies FinOps.
Self‑starter with the ability to work effectively in a matrix environment while (at times) working autonomously.
Proven flexibility and adaptability in effectively driving results in an environment of changing priorities.
Background in financial services.
About Our Company We’re a diversified financial services leader with more than $1.5 trillion in assets under management, administration and advisement as of 2024. With our team of more than 20,000 people in 20 countries, we advise, manage and protect assets and income of more than 3.5 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 worldwide.
Base Pay Salary The estimated base salary for this role is $107,000 – $144,000 a 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.
Employment Details
Seniority level: Mid‑Senior level
Employment type: Full‑time (Exempt)
Job function: Engineering and Information Technology
Job Family Group: Data
Line of Business: TECH Technology
EEO Statement Ameriprise Financial is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, national origin, genetic information, age, sexual orientation, citizenship, gender identity, disability, veteran status, marital status, family status or any other basis prohibited by law.
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Data Science Manager
role at
Ameriprise Financial Services, LLC
Play an integral role in supporting modeling and data analysis, budget execution, and the FinOps needs of the business. Manage the creation and/or usage of large data sets, providing information‑based decision logic and predictive modeling solutions, and translate modeling/analytic output into understandable/actionable business knowledge, insight and applications. Demonstrate strong technical/problem solving skills and support multiple projects collaboratively.
Key Responsibilities
Identify, develop, and implement complex analytical solutions leveraging tools such as predictive modeling, advanced machine learning techniques, simulation, optimization solutions, and risk management purposes.
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.
Identify and execute targeting and optimization opportunities while consulting and coordinating execution with asset owners.
Under direction of the Sr. Leader, collaborate with business leaders and/or analysts to provide analytical thought leadership and support for business problems.
Embed analytic programs and tools, ensuring continued accuracy, relevancy, and effectiveness and tracking process improvements once deployed.
Ensure adherence to data and model governance standards set by industry and enterprise policies.
Contribute to ongoing expansion of data science expertise and credentials by keeping up with industry best practices, developing new skills, and knowledge sharing.
Required Qualifications
Master’s degree or equivalent in a quantitative discipline (Finance, Statistics, Computer Science, Actuarial Science, Economics, Engineering, etc.).
5‑7 years relevant experience.
Knowledge of advanced statistical concepts and techniques; skilled in linear algebra.
Experience conducting hands‑on analytics projects using generalized regression models, machine learning, clustering, or similar methodologies.
Experience with statistical programming (SAS, R, Python, SQL, etc.) and data visualization software in a data‑rich environment.
Proven ability to present/communicate complex, technical materials in a way that facilitates decision making and drives outcomes.
Proven ability to apply both strategic and analytical techniques to provide business solutions and recommendations.
Ability to work effectively in a collaborative team environment.
Preferred Qualifications
3+ years of experience in statistical modeling and the collating processes necessary to create modeling data.
Experience with cloud services and big data technologies FinOps.
Self‑starter with the ability to work effectively in a matrix environment while (at times) working autonomously.
Proven flexibility and adaptability in effectively driving results in an environment of changing priorities.
Background in financial services.
About Our Company We’re a diversified financial services leader with more than $1.5 trillion in assets under management, administration and advisement as of 2024. With our team of more than 20,000 people in 20 countries, we advise, manage and protect assets and income of more than 3.5 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 worldwide.
Base Pay Salary The estimated base salary for this role is $107,000 – $144,000 a 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.
Employment Details
Seniority level: Mid‑Senior level
Employment type: Full‑time (Exempt)
Job function: Engineering and Information Technology
Job Family Group: Data
Line of Business: TECH Technology
EEO Statement Ameriprise Financial is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, national origin, genetic information, age, sexual orientation, citizenship, gender identity, disability, veteran status, marital status, family status or any other basis prohibited by law.
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