Associate - Portfolio Credit Risk Modeling
for headings. Use - for lists. Use
for prose.
We must not repeat job title as heading. No Job ID. Remove boilerplate: EEO, legal, etc. Also remove application instructions, etc. Keep substantive info.
We need to include sections only when posting has real specific content. So we can have:
- About the role (maybe from Position Summary and first paragraph)
- Responsibilities (list from Responsibilities and maybe Key Responsibilities)
- Required Skills & Qualifications (list)
- Benefits (list)
- Pay (salary range) (maybe as
)
Schedule not present, so omit.
We must preserve all substantive info: need to include details like location intention Columbus OH, remote considered, etc. Also mention that role does not qualify for employer sponsored work authorization, no STEM OPT. Also mention application deadline date. Also mention values? Might be considered boilerplate? Probably keep as part of About the role? The values statement maybe boilerplate but it's specific to Nationwide values. Might be considered generic but it's part of posting. The instruction: remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate. Values might be okay but could be considered boilerplate. Safer to omit values? The instruction: remove EEO/equal-opportunity/scam-warning boilerplate. Values not exactly those. But "Regularly and consistently demonstrates Nationwide Values." is generic. Might be considered boilerplate. Safer to omit.
We need to keep: Position Summary paragraph, Responsibilities bullet points, Required Skills & Qualifications bullet points, Benefits list, Pay ranges, location intention, remote consideration, work auth note, deadline.
Also maybe include "Job Description Summary" and "Key Responsibilities" but those duplicate responsibilities; we can merge.
We must not invent or summarize away detail. Keep specifics.
Let's extract details:
Position Summary paragraph:
"As a team member in Finance at Nationwide, a Fortune 100 company with nearly $70 billion in annual sales, the opportunities are endless! Let Nationwide help create your career journey! At Nationwide®, “on your side” goes beyond just words. Our customers are at the center of everything we do and we’re looking for associates who are passionate about delivering extraordinary care. Position Summary Join a high-impact team at the forefront of investment risk management. You will lead the development of a multi-year stochastic credit risk model and deliver a production-ready solution to support specialty finance underwriting. Over time, this role will expand to influence pricing of other products, such as annuities. You'll collaborate across a wide range of teams, develop analytical solutions, and help Nationwide build out its specialty finance capabilities. We're looking for someone experienced in structural credit risk modeling who is intellectually curious, eager to learn, and excited to work on meaningful challenges."
We can keep that as prose under About the role.
Responsibilities list:
- Work closely with the specialty finance team and asset managers to fully develop a Merton-approach, multi-year stochastic credit risk model for corporate bonds, commercial mortgage loans, and structured assets
- Conduct research on credit default history and credit risk cycles; set proper assumptions and clearly define model scope and limitations
- Design and execute comprehensive model validation
- Build analytical frameworks that link assumptions, inputs, and outputs to interpret modeling results clearly
- Develop and guide junior-level credit risk analysts; strengthen the credit risk modeling function into a competitive advantage
Also from Key Responsibilities maybe additional:
- Researches and implements financial engineering, data science and statistical techniques for risk management and business applications.
- Completes regular testing of risk limits to provide distinct management guidance on asset allocation, risk transfer and product growth decisions.
- Owns complex quantitative modeling processes and philosophies.
- Identifies industry standards to understand if models are working as intended.
- Collaborates to ensure that consistent model assumptions, processes and outputs are well understood and that modeling standard methodologies are upheld.
- Reviews and analyzes model output to identify model limitations and their impact. Provides corrective quantitative methods.
- Crafts and updates model documentation for business continuity purposes.
- Collaborates to develop creative solutions to business problems.
- Acts as the technology owner for Risk Analytics.
- May Perform Other Responsibilities As Assigned.
We should include these as responsibilities as well, but avoid duplication. We can combine.
Required Skills & Qualifications list:
- Experience in portfolio credit risk modeling, such as single-factor models, Merton models, and Gaussian copula frameworks
- Deep insight into credit default and migration behavior - credit risk cycles, rating migration dynamics, default probabilities, and loss recovery experience
- Strong understanding of asset and risk characteristics across corporate bonds, commercial mortgage loans, and structured assets
- Proven modeling and programming skills (Python, MATLAB, or similar) in developing Monte Carlo simulation models
- Working knowledge of insurance investment portfolio risk and statutory capital frameworks
- Strong communication skills and the ability to articulate complex modeling concepts to senior leaders
- Preferably 5+ years of experience in quantitative risk modeling
- Preferred professional designations (or progress toward them): CFA, FRM, or actuarial credentials (FSA/FCAS)
Also from Job Description Key Responsibilities education etc:
- Education: Undergraduate studies in finance, accounting, economics, statistics, mathematics or related subject area required. Graduate-level studies in a related field with advanced degree highly desirable.
- License/Certification/Designation: Progress toward FCAS, FSA, CQF, CFA or similar preferred.
- Experience: Typically, five or more years of related work experience in financial risk modeling or actuarial functions.
- Knowledge, Abilities and Skills: Working knowledge of machine learning, stochastic processes, Monte Carlo simulations, sampling methods and other statistical techniques applicable to specialized risk modeling. Prefer mathematical knowledge of specialized risk models such as those used in hedging, economic scenario generation, catastrophe, credit risk, etc. Solid understanding of risk management operations such as asset-liability management, portfolio risk assessment, hedging, etc. Proficient written and verbal communication skills. Intermediate proficiency with Excel and common statistical software such as R, SAS, Python, or MATLAB.
We should incorporate these into Required Skills & Qualifications.
Benefits list:
- medical/dental/vision
- life insurance
- short and long term disability coverage
- paid time off with newly hired associates receiving a minimum of 18 days paid time off each full calendar year pro-rated quarterly based on hire date
- nine paid holidays
- 8 hours of Lifetime paid time off
- 8 hours of Unity Day paid time off
- 401(k) with company match
- company-paid pension plan
- business casual attire
- more (maybe omit "more" as vague)
Pay:
- The national salary range for Consultant, Risk Analytics Researcher : $118,000.00-$222,000.00
- The expected starting salary range for Consultant, Risk Analytics Researcher : $118,000.00 - $178,000.00
We can present as
Salary range: $118,000 – $222,000 (national); expected starting range: $118,000 – $178,000.
Other specifics:
- Location intention: Columbus, OH; remote candidates with critical skills may be considered.
- Work authorization: This role does not qualify for employer sponsored work authorization. Nationwide does not participate in the STEM OPT extension program.
- Application deadline: Currently anticipate accepting applications until 10/08/2026; encourage early submissions.
We can put these in a under About the role or a separate section like "Details". But we need headings only for sections with real content. Could add a heading "Details" but not in the list of allowed headings? The instruction: use
for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). It says e.g., not limited to those. So we can add other headings like "Details". But better to fit into existing headings: maybe put location and work auth under About the role paragraph. Deadline maybe also there.
We must not create Pay/Schedule/Benefits sections unless posting actually states them. Benefits and Pay are present, so include.
Schedule not present, omit.
We must not repeat job title as heading.
We must not include boilerplate like EEO, legal, etc. Remove those paragraphs.
Now produce HTML fragment.
Structure:
About the role
...
Responsibilities
- ...
...
Required Skills & Qualifications
- ...
...
Benefits
- ...
...
Pay
...
Make sure to preserve all specifics.
Let's craft About the role paragraph combining position summary and location, remote, work auth, deadline.
Paragraph: "As a team member in Finance at Nationwide, a Fortune 100 company with nearly $70 billion in annual sales, the opportunities are endless. Nationwide helps create your career journey; our customers are at the center of everything we do and we seek associates passionate about delivering extraordinary care. You will join a high-impact team at the forefront of investment risk management, leading the development of a multi-year stochastic credit risk model for corporate bonds, commercial mortgage loans, and structured assets to support specialty finance underwriting, with future expansion to influence pricing of products such as annuities. You will collaborate across teams, develop analytical solutions, and help build Nationwide’s specialty finance capabilities. We seek someone experienced in structural credit risk modeling who is intellectually curious, eager to learn, and excited to work on meaningful challenges. This role is intended to be based in Columbus, OH, though remote candidates with critical industry skills and relevant experience may be considered. The position does not qualify for employer‑sponsored work authorization, and Nationwide does not participate in the STEM OPT extension program. Applications are currently being accepted until October 8, 2026, with early submission encouraged."
That seems to capture.
Now Responsibilities: combine both lists.
We'll list items:
- Work closely with the specialty finance team and asset managers to fully develop a Merton‑approach, multi‑year stochastic credit risk model for corporate bonds, commercial mortgage loans, and structured assets
- Conduct research on credit default history and credit risk cycles; set proper assumptions and clearly define model scope and limitations
- Design and execute comprehensive model validation
- Build analytical frameworks that link assumptions, inputs, and outputs to interpret modeling results clearly
- Develop and guide junior‑level credit risk analysts; strengthen the credit risk modeling function into a competitive advantage
- Research and implement financial engineering, data science, and statistical techniques for risk management and business applications
- Complete regular testing of risk limits to provide management guidance on asset allocation, risk transfer, and product growth decisions
- Own complex quantitative modeling processes and philosophies
- Identify industry standards to assess whether models are functioning as intended
- Collaborate to ensure consistent model assumptions, processes, and outputs are understood and that standard modeling methodologies are upheld
- Review and analyze model output to identify limitations and their impact; provide corrective quantitative methods
- Craft and update model documentation for business continuity purposes
- Collaborate to develop creative solutions to business problems
- Act as the technology owner for Risk Analytics
- Perform other responsibilities as assigned
Now Required Skills & Qualifications: combine.
List:
- Experience in portfolio credit risk modeling (single‑factor models, Merton models, Gaussian copula frameworks)
- Deep insight into credit default and migration behavior (credit risk cycles, rating migration dynamics, default probabilities, loss recovery)
- Strong understanding of asset and risk characteristics across corporate bonds, commercial mortgage loans, and structured assets
- Proven modeling and programming skills (Python, MATLAB, or similar) in
for prose. We must not repeat job title as heading. No Job ID. Remove boilerplate: EEO, legal, etc. Also remove application instructions, etc. Keep substantive info. We need to include sections only when posting has real specific content. So we can have: - About the role (maybe from Position Summary and first paragraph) - Responsibilities (list from Responsibilities and maybe Key Responsibilities) - Required Skills & Qualifications (list) - Benefits (list) - Pay (salary range) (maybe as
) Schedule not present, so omit. We must preserve all substantive info: need to include details like location intention Columbus OH, remote considered, etc. Also mention that role does not qualify for employer sponsored work authorization, no STEM OPT. Also mention application deadline date. Also mention values? Might be considered boilerplate? Probably keep as part of About the role? The values statement maybe boilerplate but it's specific to Nationwide values. Might be considered generic but it's part of posting. The instruction: remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate. Values might be okay but could be considered boilerplate. Safer to omit values? The instruction: remove EEO/equal-opportunity/scam-warning boilerplate. Values not exactly those. But "Regularly and consistently demonstrates Nationwide Values." is generic. Might be considered boilerplate. Safer to omit. We need to keep: Position Summary paragraph, Responsibilities bullet points, Required Skills & Qualifications bullet points, Benefits list, Pay ranges, location intention, remote consideration, work auth note, deadline. Also maybe include "Job Description Summary" and "Key Responsibilities" but those duplicate responsibilities; we can merge. We must not invent or summarize away detail. Keep specifics. Let's extract details: Position Summary paragraph: "As a team member in Finance at Nationwide, a Fortune 100 company with nearly $70 billion in annual sales, the opportunities are endless! Let Nationwide help create your career journey! At Nationwide®, “on your side” goes beyond just words. Our customers are at the center of everything we do and we’re looking for associates who are passionate about delivering extraordinary care. Position Summary Join a high-impact team at the forefront of investment risk management. You will lead the development of a multi-year stochastic credit risk model and deliver a production-ready solution to support specialty finance underwriting. Over time, this role will expand to influence pricing of other products, such as annuities. You'll collaborate across a wide range of teams, develop analytical solutions, and help Nationwide build out its specialty finance capabilities. We're looking for someone experienced in structural credit risk modeling who is intellectually curious, eager to learn, and excited to work on meaningful challenges." We can keep that as prose under About the role. Responsibilities list: - Work closely with the specialty finance team and asset managers to fully develop a Merton-approach, multi-year stochastic credit risk model for corporate bonds, commercial mortgage loans, and structured assets - Conduct research on credit default history and credit risk cycles; set proper assumptions and clearly define model scope and limitations - Design and execute comprehensive model validation - Build analytical frameworks that link assumptions, inputs, and outputs to interpret modeling results clearly - Develop and guide junior-level credit risk analysts; strengthen the credit risk modeling function into a competitive advantage Also from Key Responsibilities maybe additional: - Researches and implements financial engineering, data science and statistical techniques for risk management and business applications. - Completes regular testing of risk limits to provide distinct management guidance on asset allocation, risk transfer and product growth decisions. - Owns complex quantitative modeling processes and philosophies. - Identifies industry standards to understand if models are working as intended. - Collaborates to ensure that consistent model assumptions, processes and outputs are well understood and that modeling standard methodologies are upheld. - Reviews and analyzes model output to identify model limitations and their impact. Provides corrective quantitative methods. - Crafts and updates model documentation for business continuity purposes. - Collaborates to develop creative solutions to business problems. - Acts as the technology owner for Risk Analytics. - May Perform Other Responsibilities As Assigned. We should include these as responsibilities as well, but avoid duplication. We can combine. Required Skills & Qualifications list: - Experience in portfolio credit risk modeling, such as single-factor models, Merton models, and Gaussian copula frameworks - Deep insight into credit default and migration behavior - credit risk cycles, rating migration dynamics, default probabilities, and loss recovery experience - Strong understanding of asset and risk characteristics across corporate bonds, commercial mortgage loans, and structured assets - Proven modeling and programming skills (Python, MATLAB, or similar) in developing Monte Carlo simulation models - Working knowledge of insurance investment portfolio risk and statutory capital frameworks - Strong communication skills and the ability to articulate complex modeling concepts to senior leaders - Preferably 5+ years of experience in quantitative risk modeling - Preferred professional designations (or progress toward them): CFA, FRM, or actuarial credentials (FSA/FCAS) Also from Job Description Key Responsibilities education etc: - Education: Undergraduate studies in finance, accounting, economics, statistics, mathematics or related subject area required. Graduate-level studies in a related field with advanced degree highly desirable. - License/Certification/Designation: Progress toward FCAS, FSA, CQF, CFA or similar preferred. - Experience: Typically, five or more years of related work experience in financial risk modeling or actuarial functions. - Knowledge, Abilities and Skills: Working knowledge of machine learning, stochastic processes, Monte Carlo simulations, sampling methods and other statistical techniques applicable to specialized risk modeling. Prefer mathematical knowledge of specialized risk models such as those used in hedging, economic scenario generation, catastrophe, credit risk, etc. Solid understanding of risk management operations such as asset-liability management, portfolio risk assessment, hedging, etc. Proficient written and verbal communication skills. Intermediate proficiency with Excel and common statistical software such as R, SAS, Python, or MATLAB. We should incorporate these into Required Skills & Qualifications. Benefits list: - medical/dental/vision - life insurance - short and long term disability coverage - paid time off with newly hired associates receiving a minimum of 18 days paid time off each full calendar year pro-rated quarterly based on hire date - nine paid holidays - 8 hours of Lifetime paid time off - 8 hours of Unity Day paid time off - 401(k) with company match - company-paid pension plan - business casual attire - more (maybe omit "more" as vague) Pay: - The national salary range for Consultant, Risk Analytics Researcher : $118,000.00-$222,000.00 - The expected starting salary range for Consultant, Risk Analytics Researcher : $118,000.00 - $178,000.00 We can present as
Salary range: $118,000 – $222,000 (national); expected starting range: $118,000 – $178,000.
Other specifics: - Location intention: Columbus, OH; remote candidates with critical skills may be considered. - Work authorization: This role does not qualify for employer sponsored work authorization. Nationwide does not participate in the STEM OPT extension program. - Application deadline: Currently anticipate accepting applications until 10/08/2026; encourage early submissions. We can put these in aunder About the role or a separate section like "Details". But we need headings only for sections with real content. Could add a heading "Details" but not in the list of allowed headings? The instruction: use
for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). It says e.g., not limited to those. So we can add other headings like "Details". But better to fit into existing headings: maybe put location and work auth under About the role paragraph. Deadline maybe also there.
We must not create Pay/Schedule/Benefits sections unless posting actually states them. Benefits and Pay are present, so include.
Schedule not present, omit.
We must not repeat job title as heading.
We must not include boilerplate like EEO, legal, etc. Remove those paragraphs.
Now produce HTML fragment.
Structure:
About the role
...
Responsibilities
- ... ...
Required Skills & Qualifications
- ... ...
Benefits
- ... ...
Pay
...
Make sure to preserve all specifics. Let's craft About the role paragraph combining position summary and location, remote, work auth, deadline. Paragraph: "As a team member in Finance at Nationwide, a Fortune 100 company with nearly $70 billion in annual sales, the opportunities are endless. Nationwide helps create your career journey; our customers are at the center of everything we do and we seek associates passionate about delivering extraordinary care. You will join a high-impact team at the forefront of investment risk management, leading the development of a multi-year stochastic credit risk model for corporate bonds, commercial mortgage loans, and structured assets to support specialty finance underwriting, with future expansion to influence pricing of products such as annuities. You will collaborate across teams, develop analytical solutions, and help build Nationwide’s specialty finance capabilities. We seek someone experienced in structural credit risk modeling who is intellectually curious, eager to learn, and excited to work on meaningful challenges. This role is intended to be based in Columbus, OH, though remote candidates with critical industry skills and relevant experience may be considered. The position does not qualify for employer‑sponsored work authorization, and Nationwide does not participate in the STEM OPT extension program. Applications are currently being accepted until October 8, 2026, with early submission encouraged." That seems to capture. Now Responsibilities: combine both lists. We'll list items: - Work closely with the specialty finance team and asset managers to fully develop a Merton‑approach, multi‑year stochastic credit risk model for corporate bonds, commercial mortgage loans, and structured assets - Conduct research on credit default history and credit risk cycles; set proper assumptions and clearly define model scope and limitations - Design and execute comprehensive model validation - Build analytical frameworks that link assumptions, inputs, and outputs to interpret modeling results clearly - Develop and guide junior‑level credit risk analysts; strengthen the credit risk modeling function into a competitive advantage - Research and implement financial engineering, data science, and statistical techniques for risk management and business applications - Complete regular testing of risk limits to provide management guidance on asset allocation, risk transfer, and product growth decisions - Own complex quantitative modeling processes and philosophies - Identify industry standards to assess whether models are functioning as intended - Collaborate to ensure consistent model assumptions, processes, and outputs are understood and that standard modeling methodologies are upheld - Review and analyze model output to identify limitations and their impact; provide corrective quantitative methods - Craft and update model documentation for business continuity purposes - Collaborate to develop creative solutions to business problems - Act as the technology owner for Risk Analytics - Perform other responsibilities as assigned Now Required Skills & Qualifications: combine. List: - Experience in portfolio credit risk modeling (single‑factor models, Merton models, Gaussian copula frameworks) - Deep insight into credit default and migration behavior (credit risk cycles, rating migration dynamics, default probabilities, loss recovery) - Strong understanding of asset and risk characteristics across corporate bonds, commercial mortgage loans, and structured assets - Proven modeling and programming skills (Python, MATLAB, or similar) in