Structured Credit Analyst

Posted Yesterday
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New York, NY, USA
Hybrid
165K-270K Annually
Mid level
Fintech • Software • Financial Services
The Role
Analyzes structured credit investments, including CLOs, CMBS, ABS, and RMBS, across new-issue and secondary markets. Responsibilities include underlying asset analysis, credit and relative-value research, quantitative alpha strategy development, portfolio construction, and supervised trade execution. The role requires Python programming, large-dataset analysis, structured finance experience, and familiarity with platforms such as Intex, Valitana, and Bloomberg.
Summary Generated by Built In
Position Summary
Two Sigma is a leading quantitative investment management and trading firm. The company applies a scientific approach to investing, combining cutting-edge technology, artificial intelligence, data science, and quantitative research with rigorous human inquiry to capitalize on market opportunities and deliver alpha for investors.
Our team of engineers, quantitative researchers and data scientists looks beyond the traditional to test hypotheses and develop creative solutions to some of the world's most complex economic problems.
We are seeking an exceptional analyst with a strong background in structured products to join our structured credit (CLOs and others) investment team. In this role, you will work closely with the portfolio manager and the senior analyst on new-issue and secondary investing, underlying asset analysis, and portfolio construction, among other parts of the business.
You will take on the following responsibilities:
  • Analyze the underlying assets in depth
  • Perform credit and relative-value analysis on new-issue and secondary opportunities
  • Build quantitative alpha strategies, including AI-assisted tools where they add value
  • Identify and pursue research topics that are not already well covered
  • Interface with the market and trade structured credits under supervision

You should possess the following qualifications:
  • An excellent academic record with a bachelor's or advanced degree in a quantitative discipline
  • Strong programming skills (Python)
  • Experience working with large data sets
  • Ability to tackle in-depth research projects and communicate complex ideas clearly
  • Innate curiosity, resourcefulness and attention to detail
  • 2-8 years of direct experience in structured finance: CLOs, CMBS, ABS, or RMBS. Single-name corporate credit experience is a plus.
  • Experience with vendor models or platforms such as Intex, Valitana, Bloomberg

You will enjoy the following benefits:
  • Core Benefits: Fully paid medical and dental insurance premiums for employees and dependents, competitive 401k match, employer-paid life & disability insurance
  • Perks: Onsite gyms with laundry service, wellness activities, casual dress, snacks, game rooms
  • Learning: Tuition reimbursement, conference and training sponsorship
  • Time Off: Generous vacation and unlimited sick days, competitive paid caregiver leaves
  • Hybrid Work Policy: Flexible in-office days with budget for home office setup

The base pay for this role will be between $165,000 and $270,000. This role may also be eligible for other forms of compensation and benefits, such as a discretionary bonus, health, dental and other wellness plans and 401(k) contributions. Discretionary bonus can be a significant portion of total compensation. Actual compensation for successful candidates will be carefully determined based on a number of factors, including their skills, qualifications and experience.
We are proud to be an equal opportunity workplace. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity/expression, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics.
Two Sigma is committed to providing reasonable accommodations to qualified individuals in accordance with applicable federal, state, and local laws.
If you believe you need an accommodation, please visit our website for additional information.

Skills Required

  • Bachelor's or advanced degree in a quantitative discipline
  • Strong programming skills in Python
  • Experience working with large data sets
  • Ability to conduct in-depth research projects and communicate complex ideas clearly
  • 2-8 years of direct structured finance experience in CLOs, CMBS, ABS, or RMBS
  • Experience with vendor models or platforms such as Intex, Valitana, or Bloomberg
  • Single-name corporate credit experience

Two Sigma Compensation & Benefits Highlights

  • Strong & Reliable Incentives — Compensation packages for technical roles include substantial performance-based bonuses that create notable upside potential. This structure is described as a key reason total pay feels strong, particularly versus mainstream technology roles.
  • Healthcare Strength — Healthcare is described as premium-free for employees and eligible dependents, complemented by life and disability coverage. This comprehensive offering is frequently highlighted alongside positive views of the broader benefits package.
  • Parental & Family Support — Support includes financial assistance for family building, paid leave for caregivers, additional bonding time, and backup or discounted in-home childcare in some locations. These programs are presented as a meaningful part of the overall benefits.

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The Company
HQ: New York, New York
1,700 Employees
Year Founded: 2001

What We Do

Two Sigma is a leading quantitative investment management and trading firm with more than $80 billion in assets under management. The company applies a scientific approach to investing, combining cutting-edge technology, artificial intelligence, data science, and quantitative research with rigorous human inquiry to capitalize on market opportunities and deliver alpha for investors. Founded in 2001, Two Sigma employs over 1,700 curious minds at its headquarters in New York and in offices around the globe.

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Two Sigma Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: Flexible
HQNew York, New York
Central, Hong Kong
Houston, Texas
London, England
Shanghai City, Shanghai City
Tokyo, JP
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