Senior Data Management Professional - Cash Flow Modeler - Collateralized Loan Obligations
NEW YORK, NYPosted 18 days ago
Job summary
Job post source
This job is directly from Bloomberg
Job overview
The Senior Data Management Professional - Cash Flow Modeler at Bloomberg is responsible for creating and maintaining cash flow models for Collateralized Loan Obligations (CLOs) and other securitized products, supporting accurate pricing and market expansion.
Responsibilities and impact
The role involves developing and automating cash flow models using Python and Regex, maintaining monthly cashflow projections, collaborating with engineering and product teams, communicating with clients, and mentoring junior team members.
Compensation and benefits
The salary range is $110,000 to $170,000 annually, with benefits including bonuses, paid holidays, medical, dental, vision, disability benefits, 401(k) matching, life insurance, and wellness programs.
Experience and skills
Candidates need a BA/BS in Finance or STEM, 4+ years in cash flow modeling preferably in CLOs, programming and data management skills, strong communication, analytical, and time management abilities; Python, Unix, JIRA knowledge and CLO market experience are preferred.
Career development
Opportunities include mentoring junior team members and contributing to product development and growth within a leading financial data company.
Work environment and culture
Bloomberg offers a fast-paced, collaborative environment emphasizing technical innovation, client service, and professional growth.
Company information
Bloomberg is a global leader in financial data and analytics, supporting a $12 trillion securitized products market with advanced data lifecycle and analytical capabilities.
Team overview
The candidate will join the Global Securitized Products Data Team focused on CLOs, working closely with engineering, product teams, and market stakeholders.
Job location and travel
The position is based in New York, with no specific mention of remote work or travel requirements.
Application process
Applicants are encouraged to apply if they match the qualifications; next steps will be communicated by Bloomberg.
Unique job features
The role involves working with cutting-edge technology for financial modeling and data extraction, supporting a large and complex securitized products market.
Company overview
Bloomberg is a global financial services, software, and media company known for providing real-time data, analytics, and news to financial professionals. They generate revenue through their Bloomberg Terminal subscription service, which offers comprehensive financial data and tools, as well as through their media division, including Bloomberg News and Bloomberg Television. Founded in 1981 by Michael Bloomberg, the company has grown to become a cornerstone of the financial industry, renowned for its accuracy, speed, and breadth of information.
How to land this job
Position your resume to highlight your expertise in cash flow modeling specifically within the CLO market, emphasizing your experience with Python and data automation techniques like Regex to align with Bloomberg's technical requirements.
Focus on showcasing your ability to reverse engineer complex financial models, collaborate cross-functionally with engineering and product teams, and maintain high-quality, timely deliverables, as these are key responsibilities outlined in the job description.
Apply through multiple channels such as Bloomberg's official careers page, LinkedIn, and other job boards where Bloomberg listings appear to maximize your application visibility.
Connect with professionals in Bloomberg's Global Securitized Products Data Team on LinkedIn; start conversations by referencing recent securitized product market trends, asking about their experience working on CLO cash flow models, or commenting on Bloomberg's innovations in financial data analytics.
Optimize your resume for ATS by incorporating keywords like 'CLO cash flow modeling,' 'Python,' 'data automation,' 'securitized products,' and 'financial engineering' to ensure it passes initial screenings effectively.
Utilize Jennie Johnson's Power Apply feature to automate tailored applications, identify multiple suitable application portals, and discover relevant LinkedIn contacts for networking, freeing you to focus on interview preparation and skill enhancement.
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