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Manager Risk Analytics Jobs in Slidell, LA (NOW HIRING)

Within our Internal Firm Services practice, you will focus on leveraging advanced analytics and ... Risk Management/Insurance - Demonstrating advanced skills in data science algorithms and workflows ...

The IT GRC Analyst will leverage GRC tooling to automate and streamline compliance monitoring ... Support third-party risk management activities including vendor intake, security questionnaire ...

The IT GRC Analyst will leverage GRC tooling to automate and streamline compliance monitoring ... Support third-party risk management activities including vendor intake, security questionnaire ...

Senior ALM Analyst

New Orleans, LA · On-site

$84K - $111K/yr

Senior ALM Analysts are responsible for modeling and quantification the Interest Rate Risk and Liquidity Risk associated with management of the Bank's Balance Sheet and the communication of these ...

Will plan product development, produce technical white papers, and brief management/customers on ... Hardware Safety and Risk analysis * RF link budgets * Hardware Environmental and Electromagnetic ...

Will plan product development, produce technical white papers, and brief management/customers on ... Hardware Safety and Risk analysis * RF link budgets * Hardware Environmental and Electromagnetic ...

Showing results 41-60

Manager Risk Analytics information

See Slidell, LA salary details

$44.6K

$96.7K

$147.3K

How much do manager risk analytics jobs pay per year?

As of Sep 6, 2026, the average yearly pay for manager risk analytics in Slidell, LA is $96,672.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,000.00 and $111,800.00 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 popular job titles related to Manager Risk Analytics jobs in Slidell, LA?

For Manager Risk Analytics jobs in Slidell, LA, the most frequently searched job titles are:

What job categories do people searching Manager Risk Analytics jobs in Slidell, LA look for?

The top searched job categories for Manager Risk Analytics jobs in Slidell, LA are:

CTIO - AI Engineer- Senior Manager

Pwc

New Orleans, LA

$91K - $321K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 19 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 77 frontline employees who took The Breakroom Quiz

26th of 72 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

IFS - Information Technology (IT)

Management Level

Senior Manager

Job Description & Summary

The Opportunity
As a CTIO - AI Engineer- Senior Manager, you will play a pivotal role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Internal Firm Services practice, you will focus on leveraging advanced analytics and statistical techniques to extract insights from large datasets and drive data-driven decision-making. As a Senior Manager, you will utilize your skills and professional network to deliver quality results, motivating and coaching teams to solve complex problems. You will apply sound judgment, recognizing when to take action and when to escalate, while developing and sustaining diverse and inclusive teams.
In this role, you will engage in exploratory and descriptive analysis, statistical modeling, and creating data visualizations to help solve complex business problems and inform strategic decisions. You will craft and convey clear, impactful messages that tell a holistic story, applying systems thinking to identify underlying problems and opportunities. Your ability to validate outcomes with clients, share alternative perspectives, and act on client feedback will be crucial. You will direct teams through complexity, demonstrating composure in challenging situations, and deepen your skills with a focus on staying relevant.
Responsibilities
- Leading the design and development of advanced data solutions to transform raw data into actionable insights
- Driving data-driven decision-making through exploratory and descriptive analysis and statistical modeling
- Managing complex data analysis and creating data visualizations to solve business problems and inform strategic decisions
- Overseeing the implementation of machine learning algorithms and predictive modeling techniques
- Collaborating with clients to validate outcomes and incorporate feedback into data solutions
- Directing teams through complex projects, maintaining composure in challenging situations
- Applying systems thinking to identify underlying problems and opportunities within data sets
- Coaching and motivating diverse teams to achieve operational excellence in data science initiatives
- Innovating processes to enhance data quality and integrity across analytics frameworks
- Utilizing programming languages and machine learning libraries to optimize data workflows and pipelines
What You Must Have
- At least a Bachelor's degree
- At least 7 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Accounting, Analytics/Data Science, Artificial Intelligence/Robotics, Business Administration/Management, Computer Science/Information Systems, Cybersecurity, Engineering, Mathematics/Statistics, Operations/Supply Chain, Project/Technology Management, Risk Management/Insurance
- Demonstrating advanced skills in data science algorithms and workflows
- Utilizing machine learning and deep learning techniques effectively
- Excelling in complex data analysis and predictive modeling
- Leading teams through ambiguity with strategic questioning
- Innovating processes with data-driven decision making
- Applying systems thinking to identify opportunities and challenges

Travel Requirements

Up to 20%

Job Posting End Date

The salary range for this position is: $91,000 - $321,500. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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Workplace

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About pwc

Sourced by ZipRecruiter

We know that the future success of our firm is contingent on equitable experiences for our people. From recruitment to partnership, we’re working hard to give every person an equitable opportunity to grow and to thrive as part of our community of solvers. We understand that establishing and maintaining a fair, equitable and welcoming environment for all people requires building a culture of belonging: a shift from awareness to empathy — while demonstrating inclusive leadership that cultivates trust among our people and our clients. PwC is committed to advancing diversity, equity and inclusion (DEI) through an evidence-based strategy designed to achieve well-defined and meaningful aspirational goals. Our aim is to solve problems for the long term, as that is how we build trust and continue to build on our culture of belonging. At the core of this endeavor are stated goals and a series of linked programs enabling targeted interventions at key moments in our employees’ career trajectories.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

London, London, UK