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Data Risk Analyst Jobs (NOW HIRING)

Risk Analyst

Richmond, VA · On-site

$40 - $55/hr

... can evaluate risk-related data, interpret policies and procedures, and deliver clear ... The role requires strong analytical judgment, attention to detail, and the ability to collaborate ...

Risk Analyst

New York, NY · Remote

$100K - $175K/yr

Utilize advanced data analysis techniques and fraud detection tools to identify anomalies and potential security threats. * Create and maintain risk assessment models to evaluate the financial and ...

Third-Party Risk Analyst I (IT/Technology Department) Location/Map 📍 : Los Angeles, CA (90071 ... Assess vendor data residency, sovereignty, and cross-border transfer mechanisms to ensure ...

Role Overview We are seeking a Risk Analyst to support data management and risk controls. The Risk team measures and monitors trading, hedging, and marketing activities, providing Senior Management ...

The Risk Analyst will support clients and executive/market leadership by implementing insurance ... Analyze historical loss data to support forecasting, budgeting, maximum loss scenarios, loss causes ...

Pulling and analyze claims data to guide renewal discussions * Reviewing accuracy of all policies ... Risk Management, Finance, Accounting and and/or Marketing degree preferred, but not required * 0 to ...

Collect, aggregate, and analyze risk data arising from risk assessments and business processes * Support development and refinement of key risk indicators (KRIs) and risk metrics * Perform research ...

Collect, aggregate, and analyze risk data arising from risk assessments and business processes * Support development and refinement of key risk indicators (KRIs) and risk metrics * Perform research ...

Data Risk, Vice President

Tempe, AZ · Hybrid

$121K - $170K/yr

It does not involve software development, coding, or analytics development. Key Responsibilities * Data Risk Oversight & Framework Alignment * Lead identification and assessment of data risks in ...

As the future shifts toward Anticipatory Banking, we help data-informed bankers meet the moment ... We are seeking a Risk Analyst to join the Risk Management team. This role will support the third ...

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Data Risk Analyst information

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How much do data risk analyst jobs pay per year?

As of Jul 14, 2026, the average yearly pay for data risk analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What are the typical daily responsibilities of a Data Risk Analyst?

As a Data Risk Analyst, your typical day might involve monitoring data systems for vulnerabilities, conducting risk assessments, analyzing data usage trends, and preparing risk reports for management. You’ll collaborate frequently with IT teams, compliance officers, and business stakeholders to identify potential risks and ensure that risk mitigation strategies are being implemented correctly. Additionally, you may be involved in developing data governance policies and assisting with audits to ensure compliance with industry standards. This role offers a dynamic work environment where adaptability and continuous learning are key.

What does a Data Risk Analyst do?

A Data Risk Analyst identifies, assesses, and mitigates risks related to data security, compliance, and integrity. They analyze data flows, detect vulnerabilities, and ensure regulatory requirements are met. Their role involves working with IT, compliance, and business teams to develop risk management strategies. They also monitor data usage, implement security controls, and provide recommendations to minimize potential threats.

What are the key skills and qualifications needed to thrive in the Data Risk Analyst position, and why are they important?

To thrive as a Data Risk Analyst, you need strong analytical abilities, knowledge of risk assessment frameworks, proficiency in statistics, and a relevant degree in fields like finance, data science, or information security. Experience with data analytics tools (such as SQL, Python, R), risk management software, and certifications like CRISC or CISA is highly valuable. Strong attention to detail, problem-solving capability, and effective communication skills set outstanding candidates apart. These combined skills are essential for identifying, evaluating, and mitigating risk in data-driven environments, ensuring organizational data integrity and regulatory compliance.

Is a data analyst a high salary?

Data analysts typically earn competitive salaries that vary based on experience, location, and industry. Entry-level positions may start lower, but experienced data analysts with skills in SQL, Excel, and data visualization tools can command higher wages, especially in tech and finance sectors.

Is 40 too late for data science?

A Data Risk Analyst can enter data science at any age, as the field values skills like programming, statistics, and domain knowledge. Many professionals transition into data science later in their careers by gaining relevant certifications, such as in Python or machine learning, and building a portfolio of projects. Age is less important than skills, experience, and continuous learning in this field.

Will AI replace a data analyst?

AI is expected to automate routine data processing tasks, but the role of a data analyst involves interpreting complex data, providing insights, and making strategic decisions that require human judgment. Data analysts will increasingly work alongside AI tools, focusing on analysis, storytelling, and decision support rather than manual data handling.

What does a data risk analyst do?

A data risk analyst evaluates and manages risks related to data security, privacy, and compliance within an organization. They analyze data processes, identify vulnerabilities, and implement controls using tools like data governance frameworks and risk assessment methodologies to protect sensitive information.
More about Data Risk Analyst jobs
What cities are hiring for Data Risk Analyst jobs? Cities with the most Data Risk Analyst job openings:
What are the most commonly searched types of Data Risk Analyst jobs? The most popular types of Data Risk Analyst jobs are:
What states have the most Data Risk Analyst jobs? States with the most job openings for Data Risk Analyst jobs include:
Infographic showing various Data Risk Analyst job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Data Risk Program Manager - Chief Risk Office

Data Risk Program Manager - Chief Risk Office

Bloomberg LP

New York, NY • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 21 days ago


Bloomberg rating

9.4

Company rating: 9.4 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

11th of 209 rated software companies


Job description

Data Risk Program Manager - Chief Risk Office
Location
New York
Business Area
Legal, Compliance, and Risk
Ref #
10050631
Description & Requirements
What's the role?
Bloomberg's Chief Risk Office (CRO) plays a critical role in supporting our businesses and operations globally. We partner across the firm to identify, assess, and manage risks inherent in delivering world-class financial data, analytics, and news.
The CRO Data Risk Program is responsible for ensuring enterprise data is appropriately governed, protected, and managed throughout its lifecycle-minimizing risk while enabling trusted and responsible use of data.
This role will be instrumental in building and scaling Bloomberg's enterprise data risk management capabilities. You will initially operate in a hybrid capacity across first and second lines of defense, partnering closely with engineering, data, and product teams to establish foundational data governance capabilities. As the program matures, the role will transition toward a dedicated second line of defense function, focused on governance, oversight, and independent challenge.
The CRO Data Risk team provides enterprise oversight across key capabilities including Data Inventory, Data Classification, Data Discovery, Metadata Management, and Data Lineage.
We'll trust you to:
  • Drive planning and execution of key workstreams within the CRO Data Risk Program
  • Partner with Engineering, Data, Product, CISO, CTO, and Legal & Compliance teams to define and implement data governance and data risk capabilities
  • Establish and maintain data risk management frameworks, standards, and controls aligned with business and regulatory expectations
  • Support and guide the implementation of capabilities such as data classification, data discovery, metadata management, and data lineage
  • Provide oversight and challenge to first line teams as capabilities mature, ensuring alignment with enterprise standards
  • Identify capability gaps and prioritize enhancements based on risk, regulatory requirements, and most importantly business needs
  • Develop and deliver metrics, dashboards, and reporting to measure program adoption, control effectiveness, and maturity (e.g., data classification coverage, lineage completeness, policy adherence)
  • Monitor and assess data risk posture and control effectiveness, escalating risks and issues as appropriate
  • Collaborate with partners across Operational Resilience, Privacy, and Compliance to translate regulatory expectations into practical data controls and capabilities
  • Contribute to data risk training and awareness programs across the organization
  • Serve as a subject matter expert in data governance and data risk management practices

You'll need to have:
  • 5 - 8+ years of experience in data management, data governance, or data risk management
  • Bachelor's degree (or higher) in Computer Science, Information Systems, Data Analytics, or a related field
  • Experience working across technology, data, risk, privacy, or compliance functions
  • Hands-on experience implementing or supporting data governance capabilities (e.g., data classification, metadata management, data lineage, or data discovery)
  • Understanding of data risk concepts, including data protection, regulatory expectations, and control design
  • Strong problem-solving and analytical skills
  • Excellent written and verbal communication skills, with the ability to influence cross-functional stakeholders
  • Experience with data governance or data management tools (e.g., Microsoft Purview, Collibra, Informatica, Varonis)
  • Familiarity with cloud platforms and SaaS-based data ecosystems
  • Experience working in agile or iterative delivery environments
  • Ability to operate independently while collaborating across a global organization

We'd love to see:
Certifications such as DCAM, DAMA, PMP, or CSM
Experience with Microsoft Purview Information Protection or similar tooling
Salary Range = 130,000 - 180,000 USD Annual + Benefits + Bonus
The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
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About Bloomberg

Sourced by ZipRecruiter

Bloomberg runs on data. As the Data Management & Analytics team within Engineering, we support our organization's needs around managing data efficiently. The vision of the team is to build solutions that drive data quality, data dictionary, data stewardship, data lineage, reference, and master data management across various data domains (prospect, customer, vendor, material etc.). We partner with business teams across the organization in addressing their data needs and ultimately helping run business operations efficiently and make improved decisions.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1981