Systematic Credit Strategist

Loomis, Sayles & Company; Boston (MA); Hybrid; USD 130,000 - 250,000; Full time

Benefits offered by this job

Health & Welfare

Retirement Savings

Paid Time Off

Leave Benefits

Life & Disability Insurance

Wellness Resources

Job summary

Loomis Sayles & Company is seeking a Systematic Credit Strategist to join the Alpha Strategies Group. The role focuses on growing a suite of systematic credit strategies within an established high-yield team, combining quantitative insights with fundamental research.

The team manages approximately $9 billion in AUM and collaborates across credit and equities. A hybrid schedule and a competitive compensation package are offered, with travel as needed.

Qualifications

• Demonstrated quantitative and statistical rigor including data analysis, factor research, back-testing, and performance analysis strongly preferred.
• Background in corporate credit and high yield with strong issuers and credit risk intuition.
• Strong verbal communication skills to explain complex ideas clearly to institutional clients.

Responsibilities

• Support the continued evolution of the strategy through collaborative effort.
• Contribute constructively to process improvements that enhance the strategy’s resilience, transparency, and scalability.
• Work closely with team members to maintain existing portfolio construction and rebalancing processes including help resolving technical issues.
• Monitor live portfolios, analyzing behavior and holdings relative to objectives, risk budgets, and market conditions.
• Partner with centralized teams such as credit research, quantitative research, trading, risk management, and technology to ensure the strategy benefits from shared expertise across the firm.
• Interest and comfort in client facing communication to promote the product and grow assets under management.

Skills

Quantitative rigor

Verbal communication

Collaborative mindset

Willingness to travel

Education

Advanced degree in quantitative field

Tools

MATLAB

SQL

Python

Bloomberg

Office 365

Job description

Loomis Sayles is a performance-driven active asset management company that seeks to identify exceptional investment opportunities on behalf of institutional and retail clients worldwide. We believe active management fueled by proprietary, best-in-class research helps us achieve financial success for our clients. Founded in 1926, Loomis Sayles currently oversees approximately $434.6 billion in assets under management (as of 30 June 2026) for global clients spanning more than 50 countries.

We foster a culture of entrepreneurialism, where all employees are empowered and encouraged to develop themselves and their ideas. Our culture centers on our shared IDEALS, the core characteristics of who we aspire to be as employees and an organization.

Loomis Sayles is committed to the continual improvement of our performance, processes and people. As part of this commitment, we are looking to hire an enthusiastic and passionate candidate, eager to contribute to our continued success through the following employment opportunity:

About the Role

We are seeking a Systematic Credit Strategist to join the Systematic High Yield team within the Alpha Strategies Group. This is an opportunity to play a meaningful role in an established product with proven track record of success. The role suits someone who has a genuine enthusiasm for systematic investing and an entrepreneurial mindset to grow the existing suite of strategies into a durable business.

About the Team

The Alpha Strategies team is a multi-asset investment team managing approximately $9billion in AUM. The team invests across credit and equities combining fundamental research and quantitative insights.

Job Responsibilities

• Support the continued evolution of the strategy through collaborative effort
• Contribute constructively to process improvements that enhance the strategy’s resilience, transparency, and scalability.
• Work closely with team members to maintain existing portfolio construction and rebalancing processes including help resolving technical issues
• Monitor live portfolios, analyzing behavior and holdings relative to objectives, risk budgets, and market conditions.
• Partner with centralized teams such as credit research, quantitative research, trading, risk management, and technology to ensure the strategy benefits from shared expertise across the firm.

Communication & Client Engagement

• Interest and comfort in client facing communication is a must to help promote the product and grow assets under management
• Serve as a credible representative of the strategy with confidence and intellectual honesty
• Clearly and thoughtfully articulate the strategy’s philosophy, construction, and performance to institutional clients, prospects and investment consultants
• Help produce written marketing materials, analysis, and commentary suitable for sophisticated external audiences.

Qualifications & Education Requirements

• Demonstrated quantitative and statistical rigor including data analysis, factor research, back‑testing, and performance analysis strongly preferred.
• Experience troubleshooting real‑world research or optimization challenges (e.g., infeasible solutions, data issues).
• Solid understanding of fixed income analytics, spread measures, and risk attribution.
• Background in corporate credit and high yield seen fundamentals, with a well‑developed intuition for issuers, capital structures, and credit risk.
• Strong verbal communication skills, including the ability to explain complex ideas clearly and concisely.
• A collaborative mindset, intellectual curiosity, and willingness to take ownership of work from idea generation through implementation.
• Proficiency in MATLAB required, SQL, Python, Bloomberg, Office 365
• Willingness to travel

Preferred Experience

• 5-10 years prior experience with systematic or quantitative credit strategies.
• Exposure to institutional clients, consultants, or investment committees.
• Advanced degree in Finance, Economics, Statistics, Mathematics, Engineering, Physics or a related quantitative discipline.

Additional Requirements

The position follows a hybrid schedule with two days work from home and three days work from office.

Loomis Sayles is committed to offering competitive and equitable compensation. The salary range for this position is $130,000 - $250,000 USD. Your starting salary will be based on your experience, skills, qualifications and local benchmarking. This position is also eligible for a discretionary annual incentive award, which is based on individual and company performance. In addition to your compensation, you will have access to a comprehensive benefits package designed to support your health, well-being and financial security.

At Loomis Sayles, we believe benefits should empower our employees to thrive — at work and beyond. To attract and retain diverse talent worldwide, we are committed to offering comprehensive, competitive benefits that support your well-being, your family and your future. Designed with both local and global needs in mind, our benefits ensure that wherever you work, you have the support and resources to succeed.

Core Global Benefit Offerings:

• Health & Welfare: Medical, dental, and supplemental health plans
• Retirement Savings
• Paid Time Off
• Company-Provided Leave Benefits
• Life and Disability Insurance
• Work/Life and Wellness Resources
• Locally Relevant Perks and Programs

EEOC and Diversity Statement

Loomis Sayles is deeply committed to building a diverse and inclusive workforce in which talented individuals can realize their full potential and contribute to our growth and success. Please consider applying for this role even if your work history and skillset doesn't completely match the job description. We believe creativity, tenacity and humility are as valuable as specific skills that can be practiced and perfected on the job.

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, creed, color, gender, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.