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Manager Risk Analytics Jobs in Cornelius, NC (NOW HIRING)

The Portfolio Risk Analytics Lead is a key member of the Flex Risk Management Leadership Team (reports to the Chief Risk Officer) who will have the opportunity to take the intelligence engine at Flex ...

The ideal candidate will bring strong analytical judgment, attention to detail, and the ability to manage complex risk, compliance, enforcement, and investigative matters with discipline and ...

Lead and manage certain team members in the Swinerton Incorporated Risk Management department, to ... Analyze and classify risks according to frequency and potential severity; measure financial impact ...

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$103.2K

$157.3K

How much do manager risk analytics jobs pay per year?

As of May 29, 2026, the average yearly pay for manager risk analytics in Cornelius, NC is $103,230.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,300.00 and $119,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Manager Risk Analytics, and why are they important?

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 of 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 does a Manager of 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.

Are risk managers in demand?

Risk managers are in high demand across various industries due to increasing regulatory requirements and the need to manage financial and operational risks. They often require strong analytical skills, knowledge of risk management tools, and relevant certifications such as FRM or CRM, making their expertise valuable in today's job market.

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.

What job categories do people searching Manager Risk Analytics jobs in Cornelius, NC look for? The top searched job categories for Manager Risk Analytics jobs in Cornelius, NC are:
What cities near Cornelius, NC are hiring for Manager Risk Analytics jobs? Cities near Cornelius, NC with the most Manager Risk Analytics job openings:
Portfolio Risk Analytics Lead

Portfolio Risk Analytics Lead

Flex

Concord, NC • Remote

Full-time

Posted 20 days ago


Job description

Flex is building the AI-native private bank for business owners.

We’re re-architecting the entire financial system for entrepreneurs—from the first dollar a business earns to how that value compounds, moves, and is ultimately spent in real life. Banking, credit, payments, personal finance, and financial operations—rebuilt from the ground up as a single, intelligent system. Flex is the full financial home for ambitious owners.

Since launching publicly in September 2023, Flex has scaled from zero to nine-figure annualized revenue, with a clear path to profitability by late 2026. We move fast, ship relentlessly, and operate with extreme ownership.

Our customers are affluent business owners ($3–$200M in revenue)—the backbone of the economy and one of the most underserved segments in finance. They’re stuck with outdated banks and fragmented tools. We’re replacing all of it. The opportunity is massive: a ~$1T+ revenue market hiding in plain sight. Our ambition is to build a product that is fundamentally better—not incrementally improved.

Flex Fuels Ambition.

The Portfolio Risk Analytics Lead is a key member of the Flex Risk Management Leadership Team (reports to the Chief Risk Officer) who will have the opportunity to take the intelligence engine at Flex to a level that rivals the best in class.

Core Responsibilities

  • Own end-to-end portfolio risk analytics for Flex's credit card book across small business and consumer segments — end-to-end meaning full lifecycle visibility, from pre-acquisition through charge-off:
    • Acquisition & application flow: attribution of applicant volume by channel and marketing source; approval rate and decline reason analysis; segmentation of the incoming credit population to inform policy calibration
    • Credit policy & line assignment: analyze approval thresholds, bureau cutoff performance, and risk-tiered line sizing; identify where policy is over- or under-serving the target credit population
    • Multi-relationship context: incorporate existing Flex relationship data — payment history, product usage, behavioral signals — into credit decisioning and line management frameworks
    • Spend, authorization & usage: monitor authorization patterns, spend velocity, and category mix as leading indicators of both credit quality and fraud risk; identify anomalies at the obligor and segment level
    • Payment behavior & utilization: track minimum payment rates, payment-to-balance ratios, revolve propensity, and utilization trends as core indicators of borrower stress or strength
    • Portfolio performance & loss: maintain vintage curves, roll rate matrices, and delinquency migration analysis; own loss forecasting and reserve calibration inputs
    • Charge-off & recovery: analyze loss emergence patterns by segment, vintage, and acquisition cohort; incorporate recovery expectations into net loss projections
  • Build and maintain early warning frameworks that surface emerging credit deterioration before it appears in lagging indicators — translating behavioral and transactional signals into actionable portfolio triggers
  • Synthesize data across sources — financial statements, open banking, 3rd party, transaction-level, behavioral, and macro — to construct a coherent view of portfolio health; fill analytical gaps intelligently when data is sparse or contradictory
  • Lead periodic portfolio reviews: design the analytical narrative, own the underlying data, and present findings with clear risk implications to credit committees and senior leadership
  • Develop credit risk segmentation — by industry, vintage, utilization band, payment behavior, and obligor type — to enable more precise limit management, pricing, and loss reserve calibration
  • Partner cross-functionally with Underwriting, Engineering, Product, Finance, and L&C to ensure portfolio risk visibility is embedded in upstream decisions, not surfaced reactively
  • Contribute to stress testing and scenario analysis: model portfolio performance under adverse conditions and translate output into concrete exposure and loss estimates
  • Serve as the internal SME on credit card analytics — establishing standards for how the portfolio is measured, reported, and interpreted as the book scales
Qualifications
  • This role sits in the foundational build path of core risk management disciplines, and we expect significant upward potential for the right candidate. The emphasis is on finding colleagues with a strong foundation more than a ‘minimum number of years’ constraint. We can work with folks who have 7–15 years of hands-on credit card risk analytics experience across consumer and small business; direct exposure to both a bank or bank-issued program and a fintech lender strongly preferred
  • Subject matter expertise in credit card metrics — vintage curves, roll rates, loss forecasting, utilization dynamics, payment hierarchy — built through direct ownership of these analyses, not observation
  • Analytically self-sufficient: proficient in SQL and Python or R, comfortable working with large and messy datasets, and capable of building from raw data rather than consuming pre-built dashboards
  • Understands the distinct analytical demands of SMB credit: cash flow seasonality, owner-business financial entanglement, and the limits of bureau data for thin-file entities
Mindset
  • Operates at a senior thinking level relative to peer cohort — brings a point of view, challenges assumptions, and moves without waiting to be directed
  • High quantitative aptitude with strong intuition for when outputs don't pass the smell test; catches anomalies early
  • High-energy, end-to-end owner who thrives in environments where infrastructure is still being built and the analytical agenda isn't fully handed to you

We believe in the culture of ownership at Flex. All employees are given Equity in the company in addition to the Base Compensation.

Flexbase Technologies Inc.


Flex Personnel logo

About Flex Personnel

Sourced by ZipRecruiter

The Flex Team is made up of Staffing Industry experts committed to serving the needs of businesses and workers by bringing people together. We are guided by our Core values Integrity, Courtesy, and Respect. At Flex we bring Businesses and People together. We carefully assess both the needs of our Business clients and the complete profiles of each candidate, and then make the connections we believe will be most mutually beneficial. With offices in select markets throughout the Country, We are continually expanding our industry reach nationwide.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Dallas, TX, US

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