dv01

👥 51-100💰 $6,000,000 Series B about 4 years agoLendingRisk Management💼 Private Company
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dv01 is a data management and analytics platform that specializes in providing insights and reporting solutions for the financial services sector, particularly in securitizations.

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📍 USA

🧭 Full-Time

💸 80000.0 - 100000.0 USD per year

🔍 Structured finance

  • Knowledgeable with financial concepts and experience working with financial data.
  • Proficiency in SQL, R, or Python to analyze large datasets.
  • Ability to draw insights from financial statements, investor reports, and securitization documents.
  • Detail-oriented and capable of working on multiple projects while communicating findings.
  • Be on the cutting edge of structured finance and technology.
  • Expand structured finance knowledge by analyzing loan-level transaction data and related documents.
  • Enhance technical skills by working with engineering teams on data solutions.
  • Provide reporting and analytics services directly to clients in hedge funds, banks, and asset origination.

PythonSQLData Analysis

Posted 13 days ago
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🔥 Account Enabler
Posted 15 days ago

📍 NYC

🧭 Full-Time

💸 70000.0 - 80000.0 USD per year

🔍 Data management and analytics

  • Client communication skills with a strong background in customer service.
  • Attention to detail in handling data, reporting, and permissioning.
  • Experience working in cross-functional teams.
  • Passion for helping clients succeed and solving problems.
  • Proactive ownership of processes and improvement opportunities.
  • Eagerness to participate in a fast-paced, entrepreneurial team.
  • Assist Senior Account Managers in developing client relationships, resolving platform issues, and providing ongoing support.
  • Help facilitate client trainings for new users to increase product adoption.
  • Aid in the onboarding process for new clients to ensure smooth transitions.
  • Own the client data permissioning process for accurate data access.
  • Collaborate with teams to gather updated data from clients.
  • Assist in leveraging Salesforce reports for data accuracy and tracking.
  • Work closely with cross-functional teams to support large account strategies.

Data AnalysisSalesforceCollaborationReportingClient relationship management

Posted 15 days ago
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🔥 Product Specialist
Posted 15 days ago

📍 United States

🧭 Full-Time

💸 110000.0 - 115000.0 USD per year

🔍 Data management and analytics for lending markets

  • Capital Markets experience in Structured Products, ideally ABS or RMBS.
  • Knowledge of legacy ABS workflow solutions, like Intex or Bloomberg.
  • Experience with Financial Technology, ideally SAAS products, Excel, SQL, or another coding language.
  • 5+ years post graduate work experience with at least 3 years in pre and post sales support roles.
  • A high aptitude and willingness to learn, with much technical knowledge learned on the job.
  • Exceptional communication skills to explain complex issues simply, comfortable at executive and analyst levels.
  • Consultative and confident client-facing professional with personal motivation and effective time management.
  • Assist Sales and Account Management with product pitches, consultations, and trainings in-person and remotely.
  • Work closely with Product Management to drive new product development, overcoming common objectives and effectively communicating the value proposition.
  • Capture client feedback to identify product opportunities and relay that information across Account Management, Sales Executives, and Product Management.

SQLSaaS

Posted 15 days ago
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🔥 Manager, Data Ingestion
Posted 3 months ago

📍 USA

💸 190000 - 210000 USD per year

🔍 Structured finance

  • 7+ years of total engineering experience, with a minimum of 2 years in a Data Engineering leadership role.
  • Experience solving similar engineering problems as an individual contributor.
  • Ability to operate effectively in a fast-paced and ambiguous environment.
  • Skilled written and verbal communicator for diverse audiences.
  • Experience hiring, mentoring, and coaching engineers.
  • Knowledge of agile project management methodologies.
  • Experience with cloud infrastructure, particularly Google Cloud Platform (GCP).
  • Directly manage a team of Data and Software Engineers focused on data ingestion and processing.
  • Mentor, train, and promote the professional growth of team members.
  • Participate in code reviews and engage with the team's codebase.
  • Report to the Director of Engineering and collaborate on large-scale projects.
  • Work with Project Management to facilitate sprint rituals and ceremonies.
  • Contribute to technical planning and communicate technical decisions to stakeholders.
  • Work with peer engineering managers to improve overall processes and culture.

LeadershipProject ManagementAgileGCPData engineeringMentoringTeam management

Posted 3 months ago
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