Quantitative Analyst job at Ameriprise Financial in Boston, MA

Remote Full-time
Title: Quantitative Analyst

Location: 47006 Boston - 290 Congress St

Hybrid

Full time

job requisition id R26_0822

Job Description:

About Our Company

Working at Columbia Threadneedle Investments you'll find growth and career opportunities across all of our businesses.

We're intentionally built to help you succeed. Our reach is expansive with a Columbia Threadneedle Investments global team of 2,300 people working together. Our capability is diverse with more than 550 investment professionals sharing global perspectives across all major asset classes and markets. Our clients have access to a broad array of investment strategies, and we have the capability to create bespoke solutions matched to clients' specific requirements. Our unwavering focus on our clients and strong financial foundation connects each of our enterprise businesses — Ameriprise Financial, Columbia Threadneedle Investments and RiverSource Insurance and Annuities.

Job Description

The Quantitative Equity Research team at Columbia Threadneedle Investments is seeking a Quantitative Analyst. The team develops and maintains a comprehensive suite of stock selection models that generate insights for both systematic and fundamental investment strategies. The analyst will research stock selection signals, develop alpha models, and refine portfolio construction methodologies. The role also involves enhancing the team's research and analytics platforms and sharing responsibility for implementing and maintaining quantitative models in production as well as developing new models. The analyst will collaborate with fundamental research analysts and portfolio managers across the organization to exchange ideas, communicate insights, and broaden their expertise across various investment strategies.

Key Responsibilities

Contribute to research projects through idea generation, data preparation, statistical analysis, and development of actionable recommendations

Evaluate innovative techniques to extract tradable signals from large datasets

Research and develop advanced model construction methodologies

Enhance the team’s research infrastructure, production systems, and analytics capabilities

Present research findings to key stakeholders and develop thought leadership content

Monitor and analyze factor and model performance, and providing regular insights within the firm

Perform due diligence on model output, and address inquiries from investment teams

Required Qualifications

Bachelor’s degree in a Mathematics, Statistics, Finance, Economics, or related field

Minimum 3 years of experience in quantitative investment research

Bachelor’s degree in a Mathematics, Statistics, Finance, Economics, or related field

Deep understanding of statistical modeling, econometric analysis, and machine learning approaches, with demonstrated ability to apply these techniques to investment problem

Advanced analytical and quantitative problem-solving skills

Strong programming skills with proficiency in Python, R, or similar data analysis languages

Excellent written and verbal communication skills with ability to explain technical concepts effectively

Demonstrated intellectual curiosity and passion for financial markets

Keen attention to detail with track record of delivering accurate work within deadlines

Collaborative mindset with proven ability to work effectively in a team environment

Preferred Qualifications

CFA charterholder or candidate preferred

Visa Sponsorship
Applicants must have a valid work authorization that does not now, or in the future, require visa sponsorship for employment in the United States (e.g., H-1B, F-1 CPT, F-1 OPT, TN).

In-Office Collaboration
We are a client-centric, relationship-based business. Working together, in-person, is foundational to how we achieve results. By fostering a culture of face-to-face collaboration, idea sharing, productivity and personal connection, we deliver for our stakeholders — clients, advisors, employees and shareholders. Our employees work in the office at least four (4) days per week, with flexibility to work from home one (1) day per week. Some roles may require additional in-office time or different in-office expectations, and specific requirements will be discussed during the hiring process.

Base Pay Salary

The estimated base salary for this role is $125,000- $140,000 / 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/Part-Time

Full time

Exempt/Non-Exempt

Exempt

Job Family Group

Investment Management

Line of Business

AMINV US Asset Management

Columbia Threadneedle is a people business, and we recognise that our success is due to our talented people, who bring diversity of thought, complementary skills and capabilities. We are committed to fostering an inclusive and performance-based culture where everyone can belong, grow, contribute and realise their potential.

Columbia Threadneedle is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, ancestry, age, physical or mental disability, medical condition, pregnancy, military status, veteran status, genetic information, citizenship, disability status, marital status, family status or any other basis prohibited by law.

We are committed to fostering an inclusive and accessible recruitment process for individuals with disabilities. If you require a reasonable accommodation to participate in the application or interview process, speak to your recruiter to discuss how we can support you.

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