1

Manager Risk Analytics Jobs in New Jersey (NOW HIRING)

... analytics. Responsibilities: * Embodies EIT Core Skills: Critical Thinking, Decisiveness, Proactive Problem Solving, Project Management, Risk Management, Adaptability, Collaboration, Effective ...

... analytics. Responsibilities: * Embodies EIT Core Skills: Critical Thinking, Decisiveness, Proactive Problem Solving, Project Management, Risk Management, Adaptability, Collaboration, Effective ...

Risk Analyst I

Warren, NJ · Hybrid

$57K - $98K/yr

The successful candidate will gain hands-on experience with exposure management analytics, catastrophe modeling tools, and data-driven risk assessment while partnering closely with senior risk ...

Project Manager (Risk & Controls) Location: Whippany, NJ (Hybrid 3-4 Days Onsite) Duration: 12 ... Experience analyzing KPI, KRI, and KCI metrics * Root Cause Analysis (RCA) and remediation tracking

next page

Showing results 1-20

Manager Risk Analytics information

See New Jersey salary details

$52.3K

$113.3K

$172.6K

How much do manager risk analytics jobs pay per year?

As of Aug 28, 2026, the average yearly pay for manager risk analytics in New Jersey is $113,256.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,400.00 and $131,000.00 per year, depending on experience, location, and employer.

What does a manager risk analytics do?

A Manager of Risk Analytics leads a team responsible for analyzing data to identify, assess, and mitigate risks within an organization. They develop risk models, oversee the implementation of analytics tools, and provide insights that help guide business decisions. Their work helps organizations manage financial, operational, and strategic risks more effectively. Additionally, they often collaborate with other departments to ensure risk management strategies align with overall business goals.

What are the key skills and qualifications needed to thrive as a manager risk analytics?

To thrive as a Manager Risk Analytics, you need strong quantitative analysis skills, expertise in risk modeling, and a background in finance, statistics, or a related field—often supported by an advanced degree. Proficiency with statistical software (such as SAS, R, or Python), risk management systems, and relevant certifications like FRM or CFA is typically required. Exceptional leadership, communication, and problem-solving skills help you guide teams and translate complex data into actionable insights for stakeholders. These abilities are critical for accurately assessing risks, informing business decisions, and ensuring regulatory compliance.

How does a manager risk analytics typically collaborate with other departments within an organization?

A Manager of Risk Analytics works closely with teams across the organization, such as finance, compliance, operations, and IT, to identify and mitigate potential risks. This role involves communicating complex analytical findings in an understandable way to non-technical stakeholders and supporting informed decision-making. Regular collaboration ensures that risk models and strategies align with business objectives and regulatory requirements. Effective teamwork and cross-departmental communication are essential to implementing robust risk management solutions.

What is the difference between Manager Risk Analytics vs Risk Analyst?

AspectManager Risk AnalyticsRisk Analyst
CredentialsBachelor's or Master’s in Finance, Economics, or related field; professional certifications like FRM or CFABachelor's degree in Finance, Economics, or related field; some certifications preferred
Work EnvironmentLeads teams, manages risk projects, strategic planningAnalyzes data, prepares reports, supports risk management processes
Industry UsageUsed across banking, insurance, investment firmsCommon in financial services, corporate risk departments

The main difference is that a Manager Risk Analytics oversees risk teams and strategic initiatives, while a Risk Analyst focuses on data analysis and reporting. Both roles require similar credentials and are integral to risk management, but the manager has additional leadership responsibilities.

Do risk managers make good money?

Risk managers typically earn competitive salaries that vary based on experience, industry, and location. According to industry data, median annual pay ranges from $80,000 to over $130,000, with senior roles and certifications like FRM or CRM often commanding higher compensation.

Is manager risk analytics a good career?

Manager risk analytics is a specialized role focused on assessing and managing financial or operational risks within organizations. It typically requires strong analytical skills, knowledge of risk management tools, and relevant certifications such as FRM or CFA. The role offers opportunities for advancement and high demand in industries like finance, insurance, and consulting.

What are the most commonly searched types of Risk Analytics jobs in New Jersey?

The most popular types of Risk Analytics jobs in New Jersey are:

What are popular job titles related to Manager Risk Analytics jobs in New Jersey?

For Manager Risk Analytics jobs in New Jersey, the most frequently searched job titles are:

What cities in New Jersey are hiring for Manager Risk Analytics jobs?

Cities in New Jersey with the most Manager Risk Analytics job openings:

Team Lead Portfolio Risk Platform and Analytics

Jersey City, NJ • On-site


Fidelity Investments
Investment Management and Consulting Services • 10K+ employees

8.7

Company rating: 8.7 out of 10

Based on 272 frontline employees who took The Breakroom Quiz

17th of 152 rated financial services

People enjoy working here

Good employer

Recommended by students


Full-time

Medical, Retirement, PTO

Posted 8 days ago


Job description

Job Description:

Note: Fidelity will not provide immigration sponsorship for this position.

The Role

We are seeking aTeam Leadto serve as aplayer/coachfor this high-impact, multi-functional team. In this role, you will be the operational and strategic anchor of the Portfolio Risk Platform. You will lead and mentor a lean, highly specialized group of risk professionals, helping them gain the domain expertise necessary to root-cause daily issues effectively, answer investor questions, and build automated systems for identifying analytical quality issues.

To maximize efficiency, our firm utilizes a clear division of labor: aCentral Data Operationsteam acts as the "Hub," owning the daily validation, quality control, and day-over-day change monitoring of all platform inputs.

As the "Spoke," your team is responsible for inheriting these validated inputs to run the platform, validate the resultingrisk outputs and security analytics, and resolve complex structural or modeling anomalies. Concurrently, you will act as a Product Owner, managing relationships with Fidelity's investors and portfolio managers, while driving analytics enhancements.

TheRisk Platformteam withinQuantitative Research and Investments (QRI)is the custodian of the accuracy, timeliness, and reliability of the portfolio risk analytics used daily for risk management and portfolio construction acrossFidelity Asset Management.

Our portfolio managers, quantitative researchers, and fundamental investment professionals rely on our platform's risk metrics for both risk management and portfolio construction. As the stewards of risk analytics data for QRI, our mission is to ensure that all vendor and internal portfolio risk analytics are delivered consistently, accurately, and on a timely basis.

We sit at the center of a collaborative hub: we act asproduct ownerswho partner directly with investment teams to translate their complex analytical needs into structured platform requirements for our engineering teams, while managing the platform's development roadmap and communicating updates back to the business. Concurrently, we serve assubject matter experts (SMEs)in single security and portfolio risk analytics. In this capacity, we provide daily validation of risk outputs and security analytics while continuously evolving the system by onboarding new vendor models and expanding asset-class coverage. Ultimately, our team is responsible for the operationalization, scaling, quality control, and integrity of the entire production platform.

The Expertise and Skills You Bring

Portfolio Risk Validation & Specialty Analytics

  • Risk Output Integrity:Oversee the daily quality control and validation of all calculated portfolio risk analytics. Ensure final risk outputs-such as VaR, tracking error, risk decomposition, and stress-testing results-are analytically sound.

  • Security Analytics & Modeling QC:Act as the senior SME validating single-security analytics (e.g., option greeks, fixed-income analytics, and derivative pricing). Ensure that modeled behaviors align with market realities.

  • SME Diagnostic & Issue Resolution:Lead the team in troubleshooting complex, non-input risk anomalies. When outputs look incorrect, diagnose whether the issue stems from systemic model behavior, custom proxy logic, or structural calculation errors, and coordinate with internal and external providers to resolve them.

  • Hub-and-Spoke Collaboration:Partner closely with theCentral Data Operationsteam. They own the daily validation and day-over-day monitoring of the inputs (holdings, vendor model and reference data). Your team acts as the recipient of this clean data, owning the validation of the analytic outputs and the downstream calculations.

Platform Integration & Coverage Evolution

  • Onboard Vendor Models:Partner with leading risk vendors (e.g., MSCI/Barra, MSCI/RiskMetrics, Qontigo/Axioma, Northfield, Bloomberg) and engineering teams to seamlessly integrate, validate, and release new risk and factor models into production.

  • Security Coverage & Proxy Engineering:Drive the evolution of our security coverage. Ensure that newly traded, complex, or illiquid asset classes are accurately modeled, mapped, and proxied for each risk model.

  • User Acceptance Testing (UAT):Design and execute rigorous UAT frameworks and validation protocols for all risk platform releases, ensuring updates do not disrupt daily front-office workflows.

Investor Relationship Management & Product Ownership

  • Investor Engagement & Requirements Translation:Serve as the primary interface and product owner for Fidelity's investment teams. Partner directly with Portfolio Managers to translate their complex analytical needs into structured requirements for our engineering groups, while prioritizing the platform's development backlog.

  • Analytical Support & Communications:Ensure the team provides clear, highly communicative support to answer complex risk, pricing, and model-related queries from the investment desks, building trust in our platform's analytics.

Team Leadership & Player/Coach Mentorship

  • Mentorship & Upskilling:Act as a player/coach, responsible for individual deliverables while actively mentoring junior team members. Foster their growth in gaining the deep domain expertise required to analyze multi-asset portfolios and run risk operations.

  • Resource Optimization Model:Manage your team using a structured allocation model. Divide your resources between daily operational support (focused on daily risk output validation, SME support, and client inquiries) and project sprints (focused on onboarding vendor models, UAT, and security coverage enhancements) to prevent daily operational issues from stalling platform progress.

  • Bachelor's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, computer science, or finance. CFA, FRM, or PRM designations are highly desirable.

  • 5+ years of experience in quantitative support, risk analytics, or sophisticated data operations roles within the financial industry, with a track record of delivering high-quality analytics.

  • Proven experience with market risk models from leading vendors such as Barra, Axioma, Northfield, and Bloomberg.

  • Comprehensive understanding of financial data, security analytics, and pricing across equities, bonds, and derivatives.

  • Strong analytical capabilities with a demonstrated ability to comprehend large datasets and implement effective quality controls.

  • Proficiency in SQL, Python, Snowflake, and/or Oracle, with hands-on experience in data frameworks, anomaly detection methods, and automation workflows to systematically flag output errors.

  • Demonstrated leadership in team environments, including mentoring junior associates and driving process improvements.

  • Outstanding communication skills, with experience collaborating across technical, investment, and senior leadership teams to translate complex quantitative concepts into clear actions.

The Team

ThePortfolio Risk Platform & Analytics team is an integral part of theQuantitative Research and Investments (QRI)division in Asset Management. QRI is responsible for the management and development of quantitative investment strategies and solutions while providing high-quality quantitative, data-driven support to Fidelity's fundamental investment professionals, ensuring they have access to the most relevant data and advanced quantitative analysis.

Fidelity's Onsite Working Model
Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.

The base salary range for this position is $140,000-285,000 USD per year.

Placement in the range will vary based on job responsibilities and scope, geographic location, candidate's relevant experience, and other factors.

Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.

We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted.

Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

Certifications:Category:Data Analytics and Insights


What Fidelity Investments employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom