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Backtesting Jobs in Massachusetts (NOW HIRING)

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Backtesting information

What skills and qualifications are needed to thrive as a backtesting analyst?

To thrive as a Backtesting Analyst, you need a strong background in quantitative analysis, statistics, programming (typically in Python or R), and familiarity with financial markets, usually supported by a degree in mathematics, finance, or a related field. Proficiency with backtesting platforms (such as QuantConnect or Zipline), data analysis tools, and version control systems like Git is often required. Attention to detail, critical thinking, and strong problem-solving abilities are key soft skills that help ensure robust model evaluation and development. These skills are vital for accurately assessing trading strategies and minimizing risk in real-world financial applications.

What is backtesting?

Backtesting is the process of evaluating a trading strategy or investment model by applying it to historical market data. This helps traders and analysts see how the strategy would have performed in the past, which can provide insights into its potential effectiveness and risks. While backtesting can help identify strengths and weaknesses, it's important to remember that past performance is not always indicative of future results. The reliability of backtesting depends on data quality, strategy design, and how well it simulates real trading conditions.

What are common challenges faced when backtesting trading strategies, and how can they be managed?

One common challenge in backtesting trading strategies is the risk of overfitting, where a model performs exceptionally well on historical data but fails in live markets. Data quality and availability can also pose issues, as incomplete or inaccurate data may skew results. To manage these challenges, it's important to use out-of-sample testing, robust data cleaning processes, and to validate strategies on multiple datasets. Collaborating with quantitative analysts and developers can also help ensure the backtesting process is thorough and reliable.

What is the difference between Backtesting vs Quantitative Analyst?

AspectBacktestingQuantitative Analyst
Primary RoleTesting trading strategies using historical dataDeveloping and implementing quantitative models for investment decisions
Required SkillsData analysis, programming, finance knowledgeMathematics, programming, financial theory
Work EnvironmentTrading firms, hedge funds, financial institutionsAsset management firms, hedge funds, banks
CertificationsOften none required, but CFA or CQF helpfulCFA, CQF, or advanced degrees common

Backtesting focuses on evaluating trading strategies with historical data, while a Quantitative Analyst develops models to inform investment decisions. Both roles require strong analytical skills and finance knowledge but differ in scope and responsibilities.

What are popular job titles related to Backtesting jobs in Massachusetts? For Backtesting jobs in Massachusetts, the most frequently searched job titles are:
What cities in Massachusetts are hiring for Backtesting jobs? Cities in Massachusetts with the most Backtesting job openings:

Data, Analytics & Reporting Analyst - Investment Consultancy & Oversight and Multi-Manager Solut...

Ameriprise Financial

Boston, MA • On-site

Full-time

Medical, Dental, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Ameriprise rating

7.7

Company rating: 7.7 out of 10

Based on 130 frontline employees who took The Breakroom Quiz

105th of 150 rated financial services


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 Data, Analytics & Reporting Analyst sits within the Data Engineering team and supports the Investment Consultancy & Oversight and Multi-Manager Solutions businesses. The role partners closely with Coverage Analysts, Investment Strategy & Research, and investment professionals to deliver high-quality data, analytics, models, and reporting that underpin investment oversight, research, portfolio construction, and manager selection.
This is a hands-on role for a self-directed analyst who takes ownership of their work, improves data quality and analytical capabilities, and brings innovative ideas to enhance efficiency and impact.

Key Responsibilities

Partnership with Coverage Analysts, Investment Strategy & Research, and Multi-Manager Solutions

Work in close, ongoing collaboration with the Coverage Analysts and Investment Strategy and Research team, as well as the investment professionals within Multi-Manager Solutions, to understand their analytical needs and translate those needs into effective data solutions, models, and reporting. This is a service partnership built on mutual respect and shared objectives - the analyst should expect to be embedded in the research, oversight, and portfolio construction workflows of both businesses. Participate in research discussions and project planning to ensure that data and analytical capabilities are aligned with the priorities of both Investment Consultancy & Oversight and Multi-Manager Solutions. Proactively identify gaps in existing tools or data coverage and propose solutions that enhance the teams' ability to generate insights and support investment decision-making.

Data Management & Quality

Source, validate, and maintain investment data across multiple platforms and databases to support all investment oversight, research, and multi-manager activities. Ensure data quality, consistency, and accessibility for the Coverage Analysts, Investment Strategy and Research team, Multi-Manager Solutions team, and broader stakeholders. Resolve data issues, enhance data infrastructure and manage data feeds.

Quantitative Development & Analytical Tools

Build, maintain, and enhance quantitative models, analytical tools, and performance attribution systems used across Investment Consultancy & Oversight and Multi-Manager Solutions. Develop automated solutions that improve the efficiency and accuracy of recurring analytical workflows. Support backtesting, scenario analysis, and factor-based research efforts in coordination with the Investment Strategy & Research team and Multi-Manager Solutions investment professionals. Apply sound model governance practices including documentation, version control, and validation protocols.

Reporting & Dashboard Development

Continuously evaluate reporting processes for opportunities to improve clarity, efficiency, and automation. Produce regular and ad-hoc reports for investment teams, senior management, and oversight committees across both businesses, ensuring timely and accurate delivery of performance reports, risk metrics, and strategy dashboards. Design and maintain dashboard capabilities that provide Coverage Analysts, Investment Strategy and Research, and Multi-Manager Solutions professionals with ready access to the data and visualizations they need.

Process Improvement & Innovation

Drive efficiency improvements through automation, process optimization, and the adoption of new technologies and methodologies. Identify opportunities to leverage emerging capabilities including artificial intelligence and machine learning to enhance the team's analytical infrastructure. Support new product development and market research efforts through data analysis and quantitative modeling. Approach recurring process with a critical eye toward whether it can be done better, faster, or more reliably.

Cross-Functional Collaboration

Collaborate with Enterprise Technology and IT teams on technology enhancement projects and platform development. Support the Investment Risk Management team with data and analytical needs as required. Coordinate effectively with team members across Boston, New York, London, and India to ensure seamless collaboration across time zones and consistent quality standards.

Required Qualifications

  • Bachelor's or Master's degree in a quantitative field (Math, Statistics, Computer Science, Data Science, or similar).
  • 3-7 years' experience in data analytics, quantitative development, or reporting within investment management or financial services.
  • Advanced proficiency in Python, R, and SQL; experience with database platforms.
  • Strong communication skills with the ability to explain complex concepts to technical and non-technical audiences.
  • Proven ability to manage multiple priorities and deliver high-quality work to deadlines.

Preferred Qualifications

  • CFA, FRM, or similar professional certification.
  • Experience with cloud platforms (AWS/Azure), big data, or BI tools.
  • Background in investment consulting, multi-manager, or investment operations.
  • Experience with Bloomberg, FactSet, Morningstar, eVestment, Aladdin.
  • Strong understanding of investment data, portfolio analytics, performance attribution, and risk.
  • Demonstrated initiative, intellectual curiosity, and problem-solving mindset.

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 $115,000 - $145,000 per 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 insurance.

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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About Ameriprise

Sourced by ZipRecruiter

At Ameriprise Financial, we're not just in the business of helping clients with their financial goals - we also help our advisors and employees reach their true potential by embracing an inclusive and collaborative culture. We celebrate the unique qualities and reward the contributions of our talented, passionate employees. If you're motivated and want to work for a strong, ethical company that cares about you and your community, take the next step with Ameriprise Financial.

Industry

Funds, trusts and financial programs

Company size

5,001 - 10,000 Employees

Headquarters location

Minneapolis, MN, US

Year founded

1894

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