Systems Analyst, Debt

Bellwether is a global advisory firm that helps businesses solve their most complex challenges and enhance enterprise value. We specialize in formulating and executing dynamic growth strategies through true partnership with our clients. Merging deep industry expertise, advanced analytical capabilities and best-in-class talent, we create value across the business lifecycle, from transaction management to operational transformation. Bellwether specializes in the management, analysis, and reporting of over $40 billion of AUM across a wide range of real estate related assets and corporate platforms in North America, Europe and Asia. Bellwether is privately held and has offices in Los Angeles, Newport Beach, Salt Lake City, London and Dallas. Overview The Debt Asset Management Team is responsible for the oversight of a portfolio of commercial real estate debt investments. The Systems Analyst, Debt role is an exciting opportunity to leverage one’s knowledge of technology and business to drive delivery of business initiatives by bridging the gap between business requirements and technical solutions. This role will work closely with business stakeholders to analyze business needs and create scalable solutions. This role will be a key driver in delivering technology-oriented solutions from design to deployment. This role will be responsible for supporting the asset management team in preserving and creating value in the existing portfolio across various property types. The Systems Analyst, Debt will support the team by building technology-oriented solutions, contributing to data strategies, conducting complex financial analyses,  authoring quarterly portfolio and asset level reports, and interacting directly with sponsors. In this role there will be tremendous learning and growth opportunities through interactions with leading experts in the real estate investment industry. #LI-Onsite Intent of Position Description This position description describes the general nature and level of work required by the position. It is not intended to be an all-inclusive list of qualifications, skills, duties, responsibilities or working conditions of the job. The job description is subject to change with or without notice, and Management reserves the right to add, modify or remove any qualification or duty. Nothing in this job description changes the existing at-will employment relationship between the Company and the employee occupying the position. Equal Opportunity Employer Bellwether is an equal-opportunity employer. Bellwether complies with all federal, state, and local laws providing equal employment opportunities, and all other employment laws and regulations. All qualified applicants are considered for employment without regard to an individual's race, color, religion, religious creed, national origin, ancestry, citizenship, physical or mental disability, medical condition  (including cancer and genetic characteristics), genetic information, marital status, reproductive health decision-making, sex, gender (including gender identity and gender expression), age, sexual orientation, protected veteran and/or military status, protected medical leaves, domestic violence victim status, political affiliation, or any other status protected by federal, state, or local laws. All candidates must be able to prove eligibility to work in the United States. Key Responsibilities Build, maintain, and improve data pipelines, implementations, and reporting workflows that support the asset management of commercial real estate debt investments across securitized and non-securitized portfolios, including CMBS, Conduit, SASB, CRE CLO, and other CRE debt structures. Develop Python and SQL based processes to ingest, clean, and warehouse data from servicing systems, remittance files, borrower reporting, property operating statements, rent rolls, market data, and internal portfolio management tools. Design data visualizations, reports, and analyses that connect information across the loan, property, tenant, borrower, deal, and bond levels to support surveillance, reporting, valuation, and asset-level decision-making. Implement workflow automation to improve the team’s ability to oversee large portfolios, identify outliers, and focus asset management attention on credits that require follow-up or deeper review. Partner closely with asset management professionals to translate real estate debt workflows into scalable tools and solutions. Utilize large language models (LLMs) to enhance data extraction, coding efficiency, process automation, and internal workflow design, with appropriate controls and human oversight. Support the loan onboarding and abstraction process, focusing on the abstraction of unstructured data fields from legal documents and underwriting materials so that debt investments can be efficiently monitored over time. Document process logic, business rules, system architecture, and workflow design so that tools are reliable, maintainable, and aligned with the needs of a real estate debt asset management platform. Continuously identify opportunities to improve the efficiency, scalability, and analytical depth of the Debt Asset Management Team. Professional Experience 1-3 years of relevant experience, including internships, research, or early-career work in data engineering, data science, computer science, quantitative analysis, or systems-focused roles. Strong proficiency in Python building data structures, implementing automation, and creating internal tools for business stakeholders. Working knowledge of relational databases, including the ability to structure, query, and maintain large datasets. Demonstrated ability to effectively utilize large language models (LLMs) in a project or business setting, with appropriate controls and human oversight. Interest in commercial real estate, real estate finance, structured credit, or fixed income investing, with a desire to learn how real estate debt portfolios are underwritten, monitored, and managed over time. Exposure to financial, operating, or asset-level data analysis through work experience, internships, project work, or coursework preferred; experience related to real estate, credit, lending, or investment analysis is a plus but not required. Ability and willingness to learn key real estate debt concepts such as property cash flow, leasing, collateral performance, loan structures, covenant compliance, debt service coverage, maturity risk, and borrower reporting. Strong communication skills and the ability to work effectively with non-technical professionals, including asset managers and investment professionals. Demonstrated academic excellence, curiosity, and a genuine interest in using technology to inform decision-making in commercial real estate debt investing and asset management. Education/Certification Bachelor’s degree in Computer Science, Data Science, Engineering, Applied Mathematics, Information Systems, or another quantitative discipline from a rigorous academic program required. Essential Skills & Competencies Bellwether seeks to hire entrepreneurial individuals who are highly motivated, mature and intelligent, with demonstrated excellence in prior endeavors. The successful candidate should have: Job Knowledge & Technical Ability: Strong data modeling and analysis skills with the ability to build complex, multi-scenario property and loan-level models. Ability to interpret and analyze loan documents, leases, rent rolls, operating statements, and management agreements. A strong technical background and understanding of data analysis, data modeling, and data systems. Advanced skills scripting languages such as Python and Structured Query Language (SQL) is encouraged. Ability to troubleshoot and resolve errors efficiently, strong project management skills, and meticulous attention to detail are critical for success. Initiative & Dependability : Ability to perform responsibilities independently and proactively, solve problems, and improve processes and/or services. Self-directed, takes initiative and responsibility, ensures completion of tasks. Communication: Excellent verbal and written communication skills; strong listening and interpersonal skills. Highly effective at preparing and presenting information. Professionalism & Teamwork: Acts with honesty and integrity and maintains confidentiality, adheres to company policies. Promotes a collaborative and productive work environment. Demonstrates team building, support and respect. Travel Requirements Local and/or nationwide travel to assets and client sites required on an as-needed basis, approximately 1-2 times per quarter depending on deal list. Position Details Classification: Exempt Position Status: Regular, Full Time Reports To: Senior Associate, Vice President, Senior Vice President, or Managing Director Direct Reports: No Physical and Mental Demands While performing the duties of this job, the employee is regularly required to stand, sit, and walk. Must be able to sit at an office workstation for an extended period of time. May need to reach, stoop, or kneel to access items. Must be able to talk, hear and use wrists, hands and/or fingers frequently and repetitively to operate a computer, telephone and other office productivity machinery. Must frequently prepare or inspect documents, and convey details or important instructions or ideas accurately, loudly, or quickly. Ability to work independently, and prioritize duties to ensure timely completion. The ability to collaborate is also imperative. Requires active listening, critical thinking, making decisions, time management, as well as administration skills. Ability to interact in a courteous professional manner at all times. Regular, predictable attendance is required. The physical and mental demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the functions. Work Environment No hazardous or significantly unpleasant conditions (such as in a typical office). Moderate noise (i.e., business office with computers, phones, printers and light traffic) Indoor business office environment with windows; light foot traffic within work areas The work environment characteristics described here are representative of those a teammate encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Benefits We offer a comprehensive benefits package that includes: Employer-paid Medical, Dental & Vision, with buy-up options available Flexible Spending Account, Health Savings Account Carrot Fertility Benefit - $10,000 lifetime benefit 401k company match 4%, immediately vested Generous PTO, 11 Paid Company Holidays & Paid Holiday Office Closure 14 weeks Maternity Leave & 12 weeks Parental Leave Wellbeing program offerings Cell phone reimbursement Engaging team events & holiday parties

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    {
      "text": " Key Responsibilities",
      "content": "\n<li>Build, maintain, and improve data pipelines, implementations, and reporting workflows that support the asset management of commercial real estate debt investments across securitized and non-securitized portfolios, including CMBS, Conduit, SASB, CRE CLO, and other CRE debt structures.</li>\n<li>Develop Python and SQL based processes to ingest, clean, and warehouse data from servicing systems, remittance files, borrower reporting, property operating statements, rent rolls, market data, and internal portfolio management tools.</li>\n<li>Design data visualizations, reports, and analyses that connect information across the loan, property, tenant, borrower, deal, and bond levels to support surveillance, reporting, valuation, and asset-level decision-making.</li>\n<li>Implement workflow automation to improve the team’s ability to oversee large portfolios, identify outliers, and focus asset management attention on credits that require follow-up or deeper review. Partner closely with asset management professionals to translate real estate debt workflows into scalable tools and solutions.</li>\n<li>Utilize large language models (LLMs) to enhance data extraction, coding efficiency, process automation, and internal workflow design, with appropriate controls and human oversight.</li>\n<li>Support the loan onboarding and abstraction process, focusing on the abstraction of unstructured data fields from legal documents and underwriting materials so that debt investments can be efficiently monitored over time.</li>\n<li>Document process logic, business rules, system architecture, and workflow design so that tools are reliable, maintainable, and aligned with the needs of a real estate debt asset management platform.</li>\n<li>Continuously identify opportunities to improve the efficiency, scalability, and analytical depth of the Debt Asset Management Team.</li>\n"
    },
    {
      "text": " Professional Experience",
      "content": "\n<li>1-3 years of relevant experience, including internships, research, or early-career work in data engineering, data science, computer science, quantitative analysis, or systems-focused roles.</li>\n<li>Strong proficiency in Python building data structures, implementing automation, and creating internal tools for business stakeholders.</li>\n<li>Working knowledge of relational databases, including the ability to structure, query, and maintain large datasets.</li>\n<li>Demonstrated ability to effectively utilize large language models (LLMs) in a project or business setting, with appropriate controls and human oversight.</li>\n<li>Interest in commercial real estate, real estate finance, structured credit, or fixed income investing, with a desire to learn how real estate debt portfolios are underwritten, monitored, and managed over time.</li>\n<li>Exposure to financial, operating, or asset-level data analysis through work experience, internships, project work, or coursework preferred; experience related to real estate, credit, lending, or investment analysis is a plus but not required.</li>\n<li>Ability and willingness to learn key real estate debt concepts such as property cash flow, leasing, collateral performance, loan structures, covenant compliance, debt service coverage, maturity risk, and borrower reporting.</li>\n<li>Strong communication skills and the ability to work effectively with non-technical professionals, including asset managers and investment professionals.</li>\n<li>Demonstrated academic excellence, curiosity, and a genuine interest in using technology to inform decision-making in commercial real estate debt investing and asset management.</li>\n"
    },
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      "text": "Education/Certification",
      "content": "\n<li>\n<p>Bachelor’s degree in Computer Science, Data Science, Engineering, Applied Mathematics, Information Systems, or another quantitative discipline from a rigorous academic program required.</p>\n</li>\n"
    },
    {
      "text": "Essential Skills & Competencies",
      "content": "<p>Bellwether seeks to hire entrepreneurial individuals who are highly motivated, mature and intelligent, with demonstrated excellence in prior endeavors. The successful candidate should have:</p>\n\n<li><strong>Job Knowledge &amp; Technical Ability: </strong>Strong data modeling and analysis skills with the ability to build complex, multi-scenario property and loan-level models. Ability to interpret and analyze loan documents, leases, rent rolls, operating statements, and management agreements. A strong technical background and understanding of data analysis, data modeling, and data systems. Advanced skills scripting languages such as Python and Structured Query Language (SQL) is encouraged. Ability to troubleshoot and resolve errors efficiently, strong project management skills, and meticulous attention to detail are critical for success.</li>\n<li><strong>Initiative &amp; Dependability</strong>: Ability to perform responsibilities independently and proactively, solve problems, and improve processes and/or services. Self-directed, takes initiative and responsibility, ensures completion of tasks.</li>\n<li><strong>Communication: </strong>Excellent verbal and written communication skills; strong listening and interpersonal skills. Highly effective at preparing and presenting information.</li>\n<li><strong>Professionalism &amp; Teamwork: </strong>Acts with honesty and integrity and maintains confidentiality, adheres to company policies. Promotes a collaborative and productive work environment. Demonstrates team building, support and respect.</li>\n"
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      "text": "Travel Requirements",
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    },
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      "text": " Position Details",
      "content": "\n<li><strong>Classification:&nbsp; </strong>Exempt</li>\n<li><strong>Position Status:&nbsp; </strong>Regular, Full Time</li>\n<li><strong>Reports To:&nbsp; </strong>Senior Associate, Vice President, Senior Vice President, or Managing Director</li>\n<li><strong>Direct Reports:&nbsp; </strong>No</li>\n"
    },
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      "text": "Physical and Mental Demands",
      "content": "\n<li>While performing the duties of this job, the employee is regularly required to stand, sit, and walk. Must be able to sit at an office workstation for an extended period of time. May need to reach, stoop, or kneel to access items.</li>\n<li>Must be able to talk, hear and use wrists, hands and/or fingers frequently and repetitively to operate a computer, telephone and other office productivity machinery.</li>\n<li>Must frequently prepare or inspect documents, and convey details or important instructions or ideas accurately, loudly, or quickly.</li>\n<li>Ability to work independently, and prioritize duties to ensure timely completion. The ability to collaborate is also imperative.</li>\n<li>Requires active listening, critical thinking, making decisions, time management, as well as administration skills.</li>\n<li>Ability to interact in a courteous professional manner at all times.</li>\n<li>Regular, predictable attendance is required.</li>\n<li>The physical and mental demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the functions.</li>\n"
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    },
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      "text": "Benefits",
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