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Senior Risk Data Analyst Jobs in New York (NOW HIRING)

Bank of America

Risk Data Modeler III

Jersey City, NJ · On-site

$60 - $77.75/hr

... senior data modeler with data modeling, data dictionary, data analysis skills. This experienced data professional should be able to interpret business requirements, high level data flows and convert ...

Vichara

VP - Risk Technology

New York, NY · On-site

... senior technical partner to Market Risk and Credit Risk teams, focusing on data and platform solutions * Perform hands-on development in SQL and Python to support risk data pipelines, analytics ...

IsoTech Staffing

Risk Data Engineer - Analytics

Manhattan, NY · On-site

$126K - $151K/yr

The role involves designing and developing equity portfolio analytics frameworks, building data infrastructure, and collaborating with research teams to enhance risk models. Responsibilities : • ...

Vichara

VP - Risk Technology

New York, NY · On-site

... senior technical partner to Market Risk and Credit Risk teams, focusing on data and platform solutions * Perform hands-on development in SQL and Python to support risk data pipelines, analytics ...

SeatGeek

Senior Data Analyst, Risk Analytics

Manhattan, NY · On-site

$108K - $157K/yr

As a Senior Analyst on the Risk Analytics team, you will be the analytical engine behind our fraud ... Build and maintain Python-based analyses, models, and data pipelines that support fraud decisioning ...

SeatGeek

Senior Data Analyst, Risk Analytics

New York, NY · On-site

$108K - $157K/yr

As a Senior Analyst on the Risk Analytics team, you will be the analytical engine behind our fraud ... Build and maintain Python-based analyses, models, and data pipelines that support fraud decisioning ...

SeatGeek

Senior Data Analyst, Risk Analytics

New York, NY · On-site +1

$108K - $157K/yr

As a Senior Analyst on the Risk Analytics team, you will be the analytical engine behind our fraud ... Build and maintain Python-based analyses, models, and data pipelines that support fraud decisioning ...

The HR Source

Senior Risk Manager

New York, NY

... the risk organization-from Sr. Management to Analyst. This contract role supports a high-profile ... Maintain data within RMIS platforms and support underwriting through detailed analysis.

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Senior Risk Data Analyst information

What does a senior risk data analyst do?

A Senior Risk Data Analyst is responsible for analyzing data to identify, assess, and help mitigate risks that could impact an organization. They use statistical methods and data modeling to uncover trends, evaluate the effectiveness of risk management strategies, and provide actionable insights to decision-makers. Their work often involves collaborating with other departments, preparing reports, and ensuring compliance with relevant regulations. Senior analysts also mentor junior team members and contribute to the development of risk assessment frameworks.

What are the key skills and qualifications needed to thrive as a senior risk data analyst, and why are they important?

To thrive as a Senior Risk Data Analyst, you need strong analytical skills, expertise in statistical modeling, and a background in finance, mathematics, or related fields, often supported by a relevant degree. Proficiency in data analysis tools like SQL, Python, R, and familiarity with risk management systems or certifications such as FRM or CFA is typical. Exceptional problem-solving abilities, attention to detail, and effective communication are crucial soft skills for translating complex data into actionable insights. These skills are essential for accurately identifying, assessing, and mitigating risks to support sound decision-making within an organization.

How does a senior risk data analyst typically collaborate with other departments within an organization?

As a Senior Risk Data Analyst, you will regularly collaborate with teams such as compliance, finance, operations, and IT to gather data, validate risk models, and communicate findings. Your insights help inform decision-making across the business, so strong cross-functional communication skills are essential. You may participate in risk assessment meetings, support audits, and provide data-driven recommendations to improve risk management strategies. This collaborative environment not only enhances your analytical impact but also provides opportunities for professional growth and learning from other subject matter experts.

What is the difference between Senior Risk Data Analyst vs Risk Data Analyst?

AspectSenior Risk Data AnalystRisk Data Analyst
Required CredentialsBachelor's or Master's in Data Science, Finance, or related field; certifications like FRM or CFABachelor's degree in related field; certifications are a plus but not mandatory
Work EnvironmentTypically in financial institutions, insurance companies, or consulting firms; involves complex data analysis and risk modelingSimilar environments, focusing on data collection, analysis, and reporting of risk metrics
Employer & Industry UsageUsed in banking, insurance, investment firms, and risk management departmentsCommon in finance, insurance, and corporate risk teams

The main difference between a Senior Risk Data Analyst and a Risk Data Analyst lies in experience level, responsibilities, and expertise. Senior Risk Data Analysts usually handle more complex risk models, mentor junior staff, and contribute to strategic decision-making, whereas Risk Data Analysts focus on data collection, analysis, and reporting. Both roles are vital in risk management but differ in scope and seniority.

What are popular job titles related to Senior Risk Data Analyst jobs in New York?

For Senior Risk Data Analyst jobs in New York, the most frequently searched job titles are:

What job categories do people searching Senior Risk Data Analyst jobs in New York look for?

The top searched job categories for Senior Risk Data Analyst jobs in New York are:

Senior Risk Data Analyst jobs near you
Infographic showing various Senior Risk Data Analyst job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Risk Data Modeler III

Bank of America

Jersey City, NJ • On-site

$60 - $77.75/hr

Full-time

PTO

Posted 20 days ago

Bank Of America rating

8.2

Company rating: 8.2 out of 10

Based on 535 frontline employees who took The Breakroom Quiz

52nd of 174 rated banks

Job description

Job Description:
At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.
Being a Great Place to Work and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates' physical, emotional, and financial wellness through affordable, competitive and flexible benefits.
We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve.
Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs.
At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!
Job Description:
This job is responsible for driving efforts to develop and deliver complex data solutions to accomplish technology and business goals. Key responsibilities include leading code design and delivery tasks with the integration, cleaning, transformation and control of data in operational and analytical data systems. Job expectations include liaising with vendors and working with stakeholders and Product and Software Engineering teams to implement data requirements, analyzing performance, and researching and troubleshooting issues within system engineering domains.
Position Summary
A series of strategic projects and regulatory projects (examples, Strategic Risk and PnL [SRPL], Fundamental Review of the Trading Book [FRTB]) in global markets risk area would require senior data modeler with data modeling, data dictionary, data analysis skills. This experienced data professional should be able to interpret business requirements, high level data flows and convert into data elements and data models. The person should be a self starter and passionate about business data modeling. The risk data modeler would work in a data horizontal team that are responsible for database architecture, database platforms, data models, performance engineering and database platform related security vulnerabilities across Global Market Risk Technology (GMRT) and Counterparty Credit Risk Technology (CCRT). The risk data modeler would work closely with the application development teams, business stakeholders, technology infrastructure database administrators to execute projects that are critical to the LOBs and technology partners.
Responsibilities:
  • Leads story refinement and delivery of requirements through the delivery lifecycle and assists team members in resolving technical complexities
  • Codes complex solutions to integrate, clean, transform, and control data, builds processes supporting data transformation, data structures, metadata, data quality controls, dependency, and workload management, assembles complex data sets, and communicates required information for deployment
  • Leads documentation of system requirements, collaborates with development teams to understand data requirements and feasibility, and leverages architectural components to develop client requirements
  • Leads testing teams to develop test plans, contributes to existing test suites including integration, regression, and performance, analyzes test reports, identifies test issues and errors, and leads triage of underlying causes
  • Leads work efforts with technology partners and stakeholders to close gaps in data management standards adherence, negotiates paths forward by thinking outside the box to identify and communicate solutions to complex problems, and leverages knowledge of information systems, techniques, and processes
  • Leads complex information technology projects to ensure on-time delivery and adherence to release processes and risk management and defines and builds data pipelines to enable data-informed decision making
  • Mentors Data Engineers to enable continuous development and monitors key performance indicators and internal controls
  • Strategic projects, Regulatory projects in global markets risk area would require senior data modeler with data modeling, data architecture and data engineering skills.

Required Qualifications:
  • 10+ years of applicable experience
  • Data modeling. Familiarity with data modeling tools like Power Designer
  • Database knowledge on relational and unstructured data is required. Preferably with RDBMS and Hadoop technologies are - db2, oracle, Sybase, impala, kudu, iceberg etc.
  • Data architecture skills like overall data flow management, authoritative data source management, data discovery, data dictionary, data lineage.
  • Data engineering skills - building data pipeline, data ingestion / retrieval, building distributed data systems

Desired Qualifications:
  • Database, SQL, performance tuning, scripting, coding in python / shell / Perl.
  • Messaging like kafka
  • Domain knowledge in finance and risk is preferred.
  • Apache spark

Skills:
  • Analytical Thinking
  • Application Development
  • Data Management
  • DevOps Practices
  • Solution Design
  • Agile Practices
  • Collaboration
  • Decision Making
  • Risk Management
  • Test Engineering
  • Architecture
  • Business Acumen
  • Data Quality Management
  • Financial Management
  • Solution Delivery Process

Shift:
1st shift (United States of America)
Hours Per Week:
40
Pay Transparency details
US - NJ - Jersey City - 101 Hudson St - 101 Hudson (NJ2101)
Pay and benefits information
Pay range
$104,000.00 - $157,700.00 annualized salary, offers to be determined based on experience, education and skill set.
Discretionary incentive eligible
This role is eligible to participate in the annual discretionary plan. Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors, the performance and contributions of their line of business and/or group; and the overall success of the Company.
Benefits
This role is currently benefits eligible. We provide industry-leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve.

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About Bank Of America

Sourced by ZipRecruiter

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day. One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We're devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Charlotte, NC, US

Social media

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