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Collateral Telemetry Data Analyst Jobs (NOW HIRING)

Superbeo

Collateral Operations Analyst

San Francisco, CA · On-site

Collateral Operations Analyst Job Location: San Francisco, CA 94104, Hybrid (hybrid work schedule ... This role requires a strong understanding of financial data, particularly notes, and the ability to ...

BC Forward

Financial Data Analyst

Chicago, IL · On-site

$30/hr

Perform collateral performance data management, surveillance, and analysis for a portfolio of securitization transactions. Monitor and document compliance with transaction legal structures and ...

Naughty Dog

Research Data Analyst

Santa Monica, CA · On-site

$51.83 - $64.76/hr

  • Medical

  • Dental

  • Vision

Analyze gameplay telemetry, player feedback, and research findings to identify trends, friction ... Experience working with telemetry data and game analytics workflows. * Strong analytical and ...

New

Inficare Technologies

Data Analyst

Phoenix, AZ · On-site

The analyst will work on cybersecurity data sets (e.g., threat, vulnerability, and operational telemetry) to develop metrics, support reporting, and provide insights that strengthen security posture.

GMO

Collateral Analyst

Boston, MA

$90K - $105K/yr

Maintain and enhance collateral data within internal systems, including legal agreement terms and ... Experience analyzing and resolving valuation disputes with internal and external stakeholders

Brenntag

Logistics Analyst

Maurice, LA · On-site

  • Medical

  • Retirement

Monitor real-time telemetry data from various field operations, vehicles, or assets, to identify ... Quickly respond to any disruptions or emergencies by analyzing telemetry data to pinpoint root ...

Hack The Box

Data Analyst

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The core mission of the Data Analyst As a Data Analyst, you will be the analytical engine behind ... the flow of training telemetry from platform to reporting layer. Use Python/SQL for rapid ...

GMO

Collateral Analyst

Boston, MA · On-site

$80/hr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

Maintain and enhance collateral data within internal systems, including legal agreement terms and ... Experience analyzing and resolving valuation disputes with internal and external stakeholders

GMO

Collateral Analyst

Boston, MA · On-site

$80/hr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

Maintain and enhance collateral data within internal systems, including legal agreement terms and ... Experience analyzing and resolving valuation disputes with internal and external stakeholders

FieldAI

Field Data Analyst

Irvine, CA · On-site

The Field Data Analyst will support data validation, analysis, and reporting for deployed robotic ... behavior using telemetry and mission outputs. • Support root-cause analysis by extracting ...

FieldAI

Field Data Analyst

Irvine, CA · On-site

The Field Data Analyst will support data validation, analysis, and reporting for deployed robotic ... behavior using telemetry and mission outputs. • Support root-cause analysis by extracting ...

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Collateral Telemetry Data Analyst information

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How much do collateral telemetry data analyst jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for collateral telemetry data analyst in the United States is $38.12, according to ZipRecruiter salary data. Most workers in this role earn between $27.64 and $51.68 per hour, depending on experience, location, and employer.

What are some common challenges faced by a collateral telemetry data analyst when working with large-scale data sets?

A Collateral Telemetry Data Analyst often encounters challenges related to the volume, velocity, and variety of telemetry data generated by financial or technical systems. Ensuring data integrity, filtering out noise, and accurately correlating telemetry signals to collateral status can be complex, especially when integrating data from distributed sources. Additionally, analysts must stay current with evolving data analytics tools and collaborate closely with IT, risk, and operations teams to translate findings into actionable insights and reports. Effective communication and problem-solving skills are essential to overcome these challenges and drive informed decision-making.

What is the difference between Collateral Telemetry Data Analyst vs Data Analyst?

AspectCollateral Telemetry Data AnalystData Analyst
Required CredentialsBachelor's in Data Science, Engineering, or related field; familiarity with telemetry dataBachelor's in Data Science, Statistics, or related field; proficiency in data analysis tools
Work EnvironmentTelecommunications, aerospace, or engineering sectors; working with telemetry systemsVarious industries including finance, healthcare, marketing; analyzing diverse datasets
Employer & Industry UsagePrimarily in industries handling telemetry and real-time dataBroadly used across multiple sectors for data-driven decision making

The Collateral Telemetry Data Analyst specializes in analyzing telemetry data from technical systems, often within engineering or aerospace industries. In contrast, a Data Analyst has a broader scope, working across various industries with diverse datasets. While both roles require strong analytical skills and similar educational backgrounds, the Collateral Telemetry Data Analyst focuses more on telemetry-specific tools and systems, whereas the Data Analyst may work with a wider range of data types and analysis methods.

What is a collateral telemetry data analyst?

A Collateral Telemetry Data Analyst is a professional who specializes in collecting, analyzing, and interpreting telemetry data related to financial assets used as collateral in transactions. They help financial institutions monitor the status, value, and risk of collateral by leveraging data from various sources, often using advanced analytical tools and software. Their insights support risk management, compliance, and decision-making processes, ensuring that collateral assets are properly tracked and managed. This role typically requires strong analytical skills, attention to detail, and a background in finance or data analysis.

What are the key skills and qualifications needed to thrive as a collateral telemetry data analyst?

To excel as a Collateral Telemetry Data Analyst, you need a solid background in data analysis, statistics, and a relevant degree in fields such as computer science or engineering. Familiarity with data visualization tools (e.g., Tableau, Power BI), programming languages (such as Python or R), and experience with telemetry data systems are typically required. Strong problem-solving, attention to detail, and effective communication skills help analysts interpret complex data and present actionable insights. These competencies are essential for accurately monitoring, analyzing, and reporting on telemetry data to support operational decision-making and risk management.
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What job categories do people searching Collateral Telemetry Data Analyst jobs look for?

The top searched job categories for Collateral Telemetry Data Analyst jobs are:

Infographic showing various Collateral Telemetry Data Analyst job openings in the United States as of August 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 81% In-person, 6% Hybrid, and 13% Remote job distribution, with an average salary of $79,285 per year, or $38.1 per hour.

Collateral Modeling and Analytics, Assoc. Dir.

Federal Home Loan Bank of San Francisco

San Francisco, CA • On-site

Full-time

Medical, Retirement

Posted 17 days ago

Job description


Purpose:
The Federal Home Loan Bank of San Francisco ("Bank") is a cooperative, wholesale bank that provides liquidity to its members and helps meet community credit needs by providing credit products and services to member financial institutions through all phases of the economic cycle. The Bank's members include commercial banks, credit unions, industrial loan companies, savings institutions, insurance companies, and community development financial institutions headquartered in Arizona, California, and Nevada. The Bank is member focused; embraces accountability to meet commitments and uphold our governance, risk, and control standards as a government sponsored enterprise; and values differences to foster an inclusive culture.
Collateral Modeling and Analytics team within Collateral Risk Management is responsible for:
  • Producing analytics to determine member borrowing capacity
  • Managing liquidation valuation of pledged collateral
  • Supporting haircut/margin methodologies
  • Operating and maintaining the suite of collateral models used by the Bank

The Associate Director, Collateral Modeling and Analytics supports loan valuation, data analytics, and reporting activities across the Bank's mortgage collateral pricing process, working closely with internal risk teams, members, and third-party vendors.
Primary Responsibilities:
  • Manage the Bank's quarterly collateral valuation and risk analysis processes for residential and commercial portfolios, including preparing loan data files, supporting vendor submissions, and identifying key valuation trends.
  • Integrate valuations from third-party pricing vendors into the mortgage loan valuation process. Analyze vendor pricing outputs and independently assess drivers of valuation changes, including interest rates, credit spreads, prepayment assumptions, collateral characteristics, and market conditions.
  • Perform data validation and quality checks on loan-level datasets and pricing outputs, including reconciling results across reporting cycles and investigating discrepancies.
  • Perform benchmark studies and tolerance testing for third party behavioral models, vendor price models, internal model generated valuations, and haircut (margin) assignments to assure consistency with current market practice. Summarize complex analytical findings and market developments into concise executive-level presentations and reports for Senior Management and/or Credit Committee.
  • Provide national and regional economic and real estate market risk research in a concise executive level format with sufficient analytical support for conclusions and/or recommendations to the Bank's risk and credit committees, including support for the Bank's CECL and collateral monitoring process.
  • Provide analytical support for collateral models, including valuations and margin methodologies. Support model governance activities, including model validation reviews, documentation updates, testing, and remediation of findings and recommendations.
  • Execute projects independently that enhance and/or streamline department reporting capabilities
  • Assists in preparing monthly reports for Senior Management and the Board of Directors which portray the safety, soundness and mix of associated risks of securities and mortgages pledged to the Bank by its Member institutions.
  • Assist Senior Analysts with monthly and quarterly valuation and risk analysis processes for the Bank's Pledged Collateral and MPF Whole Loan portfolios.
  • Support mortgage collateral systems and data processes, including maintaining data mappings and updating fields within the Mortgage Collateral Management system.
  • Monitor collateral data submissions and assist members with mortgage data file errors, corrections, and data mapping requirements.
  • Provide support for the member portal and related system inquiries.

Skills/Knowledge:
  • Bachelor's degree in Finance, Economics, Statistics, Mathematics, Data Analytics, or a related quantitative discipline. Advanced degree (MBA or Master of Finance) or CFA designation preferred.
  • Three to five years progressively responsible experience in mortgage portfolio analysis and risk management, including expertise in whole loan and securities valuation as well as prepayment and default modeling.
  • Detail-oriented and well-organized, with strong data quality focus and sound judgment in applying procedures.
  • Excellent interpersonal skills to work in a team environment and to influence and interface with a broad range of stakeholders at all levels, both internal and external.
  • Proficiency with mortgage market-related software tools such as PolyPaths, AFT, Bloomberg analytics, and CapIQ.
  • Uses data to aid decision making by possessing strong analytical and problem-solving skills while being able to tell the story behind the numbers and analysis.
  • Ability to manage large datasets across multiple data stores and technology platforms.
  • Strong SQL skills for querying, transforming, and validating large datasets, with proficiency in Microsoft Excel and Power BI.
  • Proficiency with mortgage market related tools such as PolyPaths and AFT.

Required Qualifications:
  • Minimum of three to five years of progressively responsible experience in mortgage portfolio analysis and risk management, including expertise in whole-loan and securities valuation.
  • Demonstrated ability to manage large datasets across multiple data stores and technology platforms.
  • Strong proficiency with Microsoft Excel, Power BI, and SQL.

Salary Range: $125k - $155k
The Federal Home Loan Bank of San Francisco is committed to the principles of equal opportunity in employment (e.g., employees, applicants) and in contracting (e.g., suppliers, vendors) regardless of race, color, religion, sex, national origin, disability status, genetic information, age, sexual orientation, gender identity, status as a parent, or any other characteristic protected by law. We are committed to cultivating a workplace free of unlawful discrimination, harassment, and retaliation, and are dedicated to fostering vibrant communities by serving as a reliable source of liquidity and resources for affordable housing and economic development.
Salary ranges reflect the base salary that the Bank reasonably expects to pay for a given role and is not inclusive of annual incentive award opportunities, retirement benefits or the value of other health and welfare or other ancillary benefits. We consider many factors when determining base salaries such as individual background and experience, the competitive environment, education, particular skill set(s), and industry and institutional knowledge.
The Bank is committed to offering all team members challenging and engaging work with market competitive pay, retirement, and benefit offerings. In support of this commitment, the Bank routinely engages in market competitive benchmarking surveys and analysis to ensure our team members continue to be paid fairly and competitively.

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