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. 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.
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 and business unit data governance polices and leaders.
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.
Required Qualifications
Master degree or equivalent Quantitative Discipline (i.e. Finance, Statistics, Computer Science, Actuarial Science, Economics, Engineering, etc.)
5-7 years relevant experience required.
Knowledge of advanced statistical concepts and techniques; skilled in linear algebra.
Experience conducting hands-on analytics projects using advanced statistical methods such as generalized regression models, machine learning, clustering, or similar methodologies.
Experience with statistical programming (SAS, R, Python, SQL etc.) & 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; 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.
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 around the world.
Base Pay Salary
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.
Full-Time/Part-Time
Exempt/Non-Exempt
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Top Skills
What We Do
Ameriprise Financial has helped millions of clients feel confident about their financial futures for more than 125 years. Our network of approximately 10,000 financial advisors* delivers personalized financial advice to help clients reach their goals.
We believe that with the right advisor, the right advice, and the right firm, life can be brilliant.
Ameriprise has corporate locations throughout the U.S. and across the globe, and advisor offices in all 50 states.
Learn how you can build your career at Ameriprise Financial.
*Ameriprise Financial Q2 2020 Statistical Supplement
All content on this page is provided for informational purposes only and should not be used as the sole basis for investment decisions. Ameriprise Financial cannot guarantee future financial results. Investment products are not federally or FDIC insured, are not deposits or obligations of, or guaranteed by, any financial institution, and involve investment risks including possible loss of the entire amount invested.
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