Intermediate Quantitative Analyst

Columbia-Threadneedle-Investments; Boston (MA); Híbrido; USD 140 000 - 160 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

In-office collaboration 4 days a week

Work from home 1 day per week

Health, dental and life insurances

401(k) plan

Resumo da oferta

Columbia Threadneedle Investments is seeking a Quantitative Analyst to lead research and development of stock selection signals and alpha models. You will collaborate with global analysts and portfolio managers, contributing to the production and monitoring of models and enhancing analytics platforms.

The role requires a strong foundation in statistics, econometrics, and machine learning, with hands-on testing and deployment experience.

Qualificações

• Bachelor's degree in Mathematics, Statistics, Finance, Economics, or a related field.
• 3+ years of quantitative investment research experience.
• Strong knowledge of equity markets, factor investing, and portfolio construction.
• Proficiency in Python, R, or similar languages with large datasets.

Responsabilidades

• Research and develop stock selection signals and alpha models.
• Collaborate with analysts and portfolio managers across the globe.
• Produce and communicate research findings to stakeholders.
• Maintain and improve research infrastructure and analytics platforms.

Conhecimentos

Statistics

Econometrics

Machine Learning

Quantitative Research

Data Analysis

Formação académica

Bachelor's degree in Mathematics/Statistics/Finance/Economics

Ferramentas

Python

R

Descrição da oferta de emprego

About Our CompanyWorking 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 DescriptionColumbia Threadneedle Investments is a global investment firm with teams across North America, Europe, and Asia Pacific. Our Quantitative Equity Research team is looking for a curious, driven Quantitative Analyst to join us. We build and maintain a suite of stock selection models that power both systematic and fundamental strategies throughout the firm. In this role, you will research new signals, develop alpha models, and refine our portfolio construction methods. You will also play a hands-on part in shaping the research and analytics platforms we rely on every day and share ownership of the models we run in production. Working closely with fundamental analysts and portfolio managers across the globe, you will exchange ideas and insights while broadening your expertise across a wide range of investment approaches. If you enjoy solving investment problems with data and want to grow alongside a collaborative team, we would love to hear from you.Responsibilities:Research and Model DevelopmentContribute to research projects spanning idea generation, data preparation, statistical analysis, and actionable recommendationsEvaluate innovative techniques for extracting tradable signals from large datasetsDevelop alpha models and refine portfolio construction methodologiesProduction and MonitoringShare ownership of implementing and maintaining the team's models in productionEnhance the team's research infrastructure and analytics platformsMonitor and analyze factor and model performance, and conduct due diligence on model outputCommunication and CollaborationCollaborate with portfolio managers and fundamental analysts across the firm, exchanging ideas, sharing regular performance insights, and responding to their inquiriesPresent research findings to key stakeholders and develop thought leadership contentQualifications:Experience and Technical SkillsBachelor's degree in Mathematics, Statistics, Finance, Economics, or a related fieldMinimum 3 years of direct experience in quantitative investment research, including hands-on development and testing of stock selection signals or alpha modelsSolid grasp of equity markets, factor investing, and portfolio construction, coupled with strong intellectual curiosityDeep knowledge of statistical modeling, econometric analysis, and machine learning, with demonstrated ability to apply these techniques to investment problemsStrong programming proficiency in Python, R, or similar languages, including experience working with large financial datasetsAdvanced problem-solving and critical thinking skills, with the ability to frame research questions, challenge assumptions, and separate robust signals from noiseProfessional AttributesExcellent written and verbal communication skills, with the ability to explain technical concepts clearly to both quantitative and fundamental audiencesSelf-directed, with a track record of owning research projects from initial idea through productionHigh standards of professionalism and reliability, with keen attention to detail and consistent delivery of accurate work on scheduleCollaborative working style and strong interest in building a long-term career in quantitative investingCFA charterholder or candidate preferredVisa SponsorshipApplicants 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, TNIn-Office CollaborationWe 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 SalaryThe estimated base salary for this role is $140,000- $160,000 / 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-TimeFull timeExempt/Non-ExemptExemptJob Family GroupInvestment ManagementLine of BusinessAMINV US Asset ManagementColumbia 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.