Quantitative Analyst Role, Commercial Real Estate
Required skills
- Python
- SQL
- NoSQL
- Spark
- AWS
- Azure
- GCP
- Data pipelines
- Dashboards
- Reporting tools
Nice to have
- financial applications
- analytics platforms
Role summary
Marathon Asset Management, a global asset manager with ~$24 billion in AUM, seeks a Quantitative Analyst for its Commercial Real Estate team. The role involves institutionalizing portfolio and asset management processes, building a cloud-based platform for large datasets, and developing data pipelines, dashboards, and reporting tools for real-time analytics. Responsibilities include creating quantitative investment models for portfolio construction and risk management, collaborating with various teams, and leveraging data insights for strategy adjustments. A Bachelor's degree in a quantitative field and strong programming skills in Python or R, proficiency in SQL, NoSQL, Spark, and cloud platforms (AWS, Azure, GCP) are required. Experience in software development or quantitative finance is preferred.
Overview
Marathon Asset Management is a leading global asset manager specializing in public and private credit with ~$24 billion in assets under management. Marathon is recognized as a distinguished leader with 27+ years of exceptional performance and partnership. Marathon’s integrated global credit platform is driven by our specialized, highly experienced, and disciplined teams across Private Credit: Direct Lending, Asset Based Lending and Opportunistic Credit and Public Credit: High Yield, Leveraged Loans & CLOs, Emerging Markets, and Structured Credit. Marathon’s mission is to build lasting partnerships with an unwavering commitment to delivering best-in-class performance, service, and reliability on behalf of our clients.
Responsibilities
- Institutionalize CRE team’s portfolio management and asset management process
- Build and maintain a cloud-based portfolio management platform to process large datasets and support investment decisions
- Develop data pipelines, dashboards, and reporting tools that provide real-time portfolio analytics
- Create quantitative investment models for portfolio construction, risk management, and performance analysis
- Collaborate with Investment, Finance, Risk, IT teams and third-party service providers to ensure system integration and data accuracy
- Utilize data-driven insights to assess investment performance and inform strategy adjustments
- Secondarily, support the investment and asset management teams in analyzing certain investment opportunities across the capital structure as the need arises
Qualifications
- Bachelor's degree in Computer Science, Data Management, Mathematics, Statistics, or related field from a top-tier university
- 3-10 years of experience in software development or quantitative finance roles preferred
- Strong programming skills in Python, R, or similar languages; experience with cloud platforms (AWS, Azure, or GCP) required
- Proficiency in database technologies and data management tools (SQL, NoSQL, Spark)
- Experience building financial applications, dashboards, or analytics platforms
- Possess strong written, verbal, and interpersonal communication and presentation skills
- Analytically strong and excellent attention to details
The salary range for this role is $125,000-$150,000 in base pay (exclusive of bonus or benefits above and beyond the base pay). Base pay offered will be determined based on your experience, location, skills, training, certifications, and education, and in addition we will also consider internal equity and market data. We do not anticipate that candidates hired will begin at the top of the range however, from time to time, it may occur on a case by case basis. Marathon benefit highlights include (but are not limited to) Medical/Pharmacy, Dental, Vision, HSA, FSA, STD/LTD, Life Insurance, PTO, Commuter Benefits, and company provided lunches.
No agencies, please
Equal Opportunity Employer M/F/D/V
