AeroLeads people directory · profile
David Wasserman Email & Phone Number
Senior Data Architect
at
Clear Street
1 work email found
@clearstreet.io
2 phones found area 212
LinkedIn matched
✓ Verified Jun 2026
4 data sources
Profile completeness 100%
Current company
Role
Senior Data Architect
Location
New York City Metropolitan Area, United States, United States
Who is David Wasserman? Overview
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Quick answer
David Wasserman is listed as Senior Data Architect at Clear Street, based in New York City Metropolitan Area, United States, United States. AeroLeads shows a work email signal at clearstreet.io, phone signal with area code 212, and a matched LinkedIn profile for David Wasserman.
David Wasserman previously worked as Data Science Fellow at Nyc Data Science Academy and Vice President (Data Governance) at Moody'S Corporation. David Wasserman holds Bachelor Of Science - Bs, Finance, Economics, Mathematics, And Philosophy from Binghamton University.
Company email context
Email format at Clear Street
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{first_initial}{last}@clearstreet.io
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AeroLeads found 1 current-domain work email signal for David Wasserman. Compare company email patterns before reaching out.
Profile bio
About David Wasserman
Financial Data Technologist with experience architecting, building, and delivering solutions. Possesses strong quantitative and technical skills. Recognized for creative, insightful problem-solving skills and strengths in data analysis. → Developed applications to capture new financial data used to support risk assessment→ Built the technological infrastructure, including the architecture and databases → Experienced using both alternative and fundamental data→ Academic background in mathematics, finance and data science
Listed skills include Business Analysis, Crm, Vba, Sdlc, and 37 others.
Current workplace
David Wasserman's current company
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7 roles · 25 years
David Wasserman work experience
A career timeline built from the work history available for this profile.
Senior Data Architect
Current
2021 - Present
~5 yrs 5 mos
Data Science Fellow
- Fellow at the Academy focused on machine learning methods such as linear/logistic regression, tree-based models like random forests and boosting models, and neural networks. Completed data science projects included:
- Lending Club Analysis: Predicted which peer-to-peer loans would default and which would pay off in full
- COVID Analysis: Performed time series analysis to predict the trajectory of the disease based on positivity rates
- Data Science Positions on Indeed.com: Used NLP on 2,500 postings to find the most requested attributes
- Modeling Ames, IA Real Estate Prices: Leveraged six different machine learning algorithms to predict sale prices
Jan 2021 - Apr 2021
Vice President (Data Governance)
- Managed and cultivated the 7-person Data Governance team of subject matter experts.
- Responsible for definition, implementation and enforcement of data governance standards for Ratings Operations, Commercial, Research, and Analytic data sets.
- Developed and implemented firm-wide Data Governance Principles and Standards.
- Developed conceptual, logical, and physical data models for Structured Finance area using ER/Studio.
- Designed and conducted a Python course catered for internal staff.
2015 - 2020
~5 yrs
Vice President (Credit Policy)
- Oversaw the development of Information Technology projects for the Credit Policy department.
- Developed Microsoft Access tracking tools; many of which were upsized to C# web applications.
- Created an Access-based learning management system (LMS) to monitor training for all analysts.
- Subject matter expert for software tools like SharePoint, SQL, Excel, Access, and C#.
- Verified financial models (C#, SQL, and Excel/VBA) used throughout different lines of business.
- Represented the department on committees dealing with Business Continuity, Information Security, and Data Governance.
2009 - 2015
~6 yrs
Business Analyst / Developer, Information Technology
- Developed Moody’s Financial Metrics – a platform used worldwide by the Corporate Finance Group to analyze the creditworthiness of non-financial corporations.
- Worked closely with the Corporate Finance credit ratings analysts to develop a user-friendly Projection Model in Excel to forecast financials.
- Collaboratively developed Loss Given Default (LGD) Model in Excel to rate corporate bonds and loans.
2004 - 2009
~5 yrs
Consultant
- SQL Developer who produced reports on AMEX card usage from vendor information.
- Programmed ad hoc and recurrent reports using T-SQL against Sybase and SQL Server databases.
2001 - 2004
~3 yrs
1 education record
David Wasserman education
-
Binghamton University
FAQ
Frequently asked questions about David Wasserman
Quick answers generated from the profile data available on this page.
What company does David Wasserman work for?
David Wasserman works for Clear Street.
What is David Wasserman's role at Clear Street?
David Wasserman is listed as Senior Data Architect at Clear Street.
What is David Wasserman's email address?
AeroLeads has found 1 work email signal at @clearstreet.io for David Wasserman at Clear Street.
What is David Wasserman's phone number?
AeroLeads has found 2 phone signal(s) with area code 212 for David Wasserman at Clear Street.
Where is David Wasserman based?
David Wasserman is based in New York City Metropolitan Area, United States, United States while working with Clear Street.
What companies has David Wasserman worked for?
David Wasserman has worked for Clear Street, Nyc Data Science Academy, Moody'S Corporation, and American Express.
How can I contact David Wasserman?
You can use AeroLeads to view verified contact signals for David Wasserman at Clear Street, including work email, phone, and LinkedIn data when available.
What schools did David Wasserman attend?
David Wasserman holds Bachelor Of Science - Bs, Finance, Economics, Mathematics, And Philosophy from Binghamton University.
What skills is David Wasserman known for?
David Wasserman is listed with skills including Business Analysis, Crm, Vba, Sdlc, Project Management, Sql, Fixed Income, and Database Design.
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