Quantitative Research Analyst – Sub-Advisory Team

The successful candidate will be part of the Subadvised Strategies Team at Columbia Threadneedle Investments. The scope of the role is centered on furthering the development of quantitative tools to assist in the selection and oversight of investment managers. The ideal candidate is a self-starter willing to work alongside analysts and other internal partners on both day-to-day as well as project and developmental responsibilities.

Responsibilities

• Develop customized quantitative tools to assist the Sub-Advisory Management team in the selection and oversight of active investment managers.

• This includes developing tools that leverage the capabilities of vendor systems such as Factset and Aladdin as well as internally developed systems to assist the team in deepening their analysis and understanding of the merits of 3rd party investment strategies.

• Work with team to automate and further develop manager screening tools using data from various industry sources.

• Work with 3rd party quantitative investment managers to understand their investment process and value-add, how it translates into a portfolio context and differentiate from other available strategies.

• Work closely with quantitative team(s) employed by our clients to deepen their understanding of our process, tools and value-add.

• Work closely with the Portfolio Analytics Group (PAG) and other business partners that report data relevant to the Subadvised Strategies Team.

• Develop tools to efficiently run analytics and reports to support Investment Committee, Board and client meetings on a regular and ad hoc basis.

Required Qualifications

• Strong quantitative and problem solving skills, with the ability to pull together, organize and analyze large quantities of data and to check the output for accuracy and reasonableness.

• Ability to communicate clearly, build relationships in person and telephonically, and collaborate effectively both inside and outside the organization is critical to the role.

• Strong knowledge of Visual Basic, Python, R Project, C/C++/C#, Matlab, or similar data management tools/languages

• Familiarity with 3rd party analytical tools employed by team (FactSet, Aladdin, BARRA, eVestment, Lipper, Morningstar, etc.).

• 1-3 years of industry experience with minimum undergraduate degree.

• Degree in finance, mathematics, statistics, engineering, economics or computer science.

• Strong technical aptitude and familiarity with databases and data integration. Comfortable with statistics, regression, linear and non-linear models, time series analysis, etc.

• Proven attention to detail, with the ability to work under tight deadlines.

License(s) Required

None

About Ameriprise

With the right company, life can be brilliant. At Ameriprise, we’re not just in the business of managing our clients’ finances — we also help our advisors and employees reach their true potential, too. Be part of an inclusive, collaborative culture that rewards you for your contributions and work with other talented individuals who share your passion for doing great work. You’ll also have plenty of opportunities to make your mark at the office and a difference in your community. So if you’re talented, driven and want to work for a strong ethical company that cares, take the next step to create a brilliant career at Ameriprise Financial.