Actuarial Senior Consultant, Actuarial Analytics
for sections like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections with real content. We need to parse the posting. Key info: - Company: Zurich North America - Position: Actuarial Senior Consultant - Team: Actuarial Analytics within Finance & Actuarial - Location: North American Headquarters in Schaumburg, IL. Hybrid: work both in office and remote; schedule set with manager. - Role description: Actuarial Analytics supports actuarial reserving by providing leading-edge models & explanatory tools for in-depth reserve analysis and loss forecasts. Responsibilities: Work with large datasets and employ statistical techniques to analyze claims data and loss development; Develop, implement, evaluate, and monitor advanced predictive models; Deliver insights, produce diagnostics, and create tools to aid in reserving analyses; Transform Finance Actuarial’s way of working and drive operational efficiency by collaborating with the reserving transformation team to create AI tools and agents; Work closely with the Data Visualization team to help tell a story and improve transparency of the models to key stakeholders; Partner with stakeholders to translate actuarial and business questions into actionable analyses. - Qualification tracks: Qualification track and Non-qualification track. Basic qualifications listed. - Preferred qualifications: Experience working in machine learning and building predictive models; Strong advanced analytics experience with Python, Microsoft Azure Databricks, Microsoft Azure Data Factory, SQL, R; Commercial Property & Casualty reserving experience; Experience building AI tools/agents; Excellent verbal and written communication skills. - Pay: Combined salary range $86,200 - $217,000. Non-qualification track $86,200 - $142,700 with short-term incentive bonus eligibility 15%. Qualification track $132,500 - $217,000 with short-term incentive bonus eligibility 15%. Also mention bonuses and merit increases. - Benefits: "We offer competitive pay and comprehensive benefits for employees and their families." Also link to Total Rewards but we should not include navigation? The instruction: Remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, and application instructions. The "[Learn more about Total Rewards here.]" is likely a link; we can keep the sentence but maybe drop the link? It's not boilerplate; it's a reference. Might keep as part of Benefits section. - Why Zurich? etc. That's promotional; could be part of About the role or maybe a separate section? Not required; we can include as part of About the role. - EEO statement: Should be removed as boilerplate. - Location(s): AM - Schaumburg, AM - Chicago, AM - New York. Remote Working: Hybrid Schedule: Full Time Employment Sponsorship Offered: No Linkedin Recruiter Tag: ... This is metadata; we can fold minor metadata into a short
or drop it. Probably include location and schedule in a short paragraph. We need to avoid repeating job title as heading. No Job ID/requisition numbers as headings. We need to use
for section headings. Use - for any list of duties/requirements/benefits, and
for prose.
We need to preserve all substantive information; do not invent or summarize away detail.
We need to include a section ONLY when posting has real, specific content for it — never emit a heading followed by filler/placeholder text (e.g., "commensurate with experience", "not specified", "N/A", "varies", "TBD") and never create Pay/Schedule/Benefits sections unless posting actually states them.
We have Pay info, so we can include Pay section. Schedule info: "Hybrid Schedule: Full Time" is given; we can include Schedule section. Benefits: we have statement about competitive pay and comprehensive benefits; we can include Benefits section.
We also have "Why Zurich?" which is more about company culture; could be part of About the role or maybe a separate section like "About Zurich". But we only have headings list: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We can put culture in About the role.
We need to decide what goes where.
- About the role: brief overview of position, team, location, hybrid work, purpose.
- Responsibilities: list of duties (the bullet points after "In this role you will be responsible for the following:").
- Requirements: maybe basic qualifications? But we have separate Qualifications and Skills headings. The instructions say we can use Requirements, Qualifications, Skills. We need to decide distribution.
We have Basic Qualifications (Qualification track) and Basic Qualifications (Non-qualification track). Also Preferred Qualifications. Also "Knowledge of insurance products and operations", etc. Those could go under Qualifications.
Skills: maybe list of technical skills: Python, Azure Databricks, Azure Data Factory, SQL, R, machine learning, predictive models, AI tools, etc. Also communication skills.
We need to avoid duplication.
Let's structure:
About the role
Zurich North America is seeking an Actuarial Senior Consultant to join the Actuarial Analytics team within Finance & Actuarial at the North American Headquarters in Schaumburg, IL. The role offers hybrid flexibility (office and remote) with a schedule set collaboratively with your manager. Actuarial Analytics provides leading‑edge models and explanatory tools for reserve analysis and loss forecasts, and this position focuses on actuarial‑specific predictive models, AI tool development, and stakeholder‑driven insights to improve reserving efficiency.
Responsibilities
- Work with large datasets and employ statistical techniques to analyze claims data and loss development
- Develop, implement, evaluate, and monitor advanced predictive models
- Deliver insights, produce diagnostics, and create tools to aid in reserving analyses
- Transform Finance Actuarial’s way of working and drive operational efficiency by collaborating with the reserving transformation team to create AI tools and agents
- Work closely with the Data Visualization team to help tell a story and improve transparency of the models to key stakeholders
- Partner with stakeholders to translate actuarial and business questions into actionable analyses
Qualifications
This role can be filled via either the Qualification track or the Non‑qualification track; the hiring manager will determine the appropriate level based on the applicant’s experience and skill set.
Basic Qualifications (Qualification track)
- Zurich Certified Insurance Apprentice, including an Associate’s Degree
- OR Bachelor’s Degree AND 5+ years of actuarial experience plus FCAS or equivalent international certification
- OR 10+ years of actuarial experience plus ACAS or equivalent international certification
Basic Qualifications (Non‑qualification track)
- Bachelor’s Degree and 5+ years of actuarial experience
- OR Zurich Certified Insurance Apprentice including an Associate’s Degree and 5+ years of actuarial experience
Additionally, candidates should have:
- Knowledge of insurance products and operations
- Experience applying quantitative concepts
- Experience communicating analysis results
But we are only allowed to use for section headings, not . The instruction: "use for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule)." So we should not use . We need to keep everything under sections; we can use
and
- inside. So we need to avoid extra heading levels. We can embed subheadings as bold text or just plain paragraphs. Probably better to keep as paragraphs.
Thus under Qualifications
, we can have paragraphs describing the tracks and bullet lists.
Similarly Skills can list technical skills and soft skills.
We need to avoid duplication: Preferred Qualifications can go under Skills or Qualifications. Since we already have Qualifications covering basic qualifications, we can put Preferred Qualifications under Skills.
Let's decide:
- About the role: overview.
- Responsibilities: duties list.
- Qualifications: basic qualification tracks (both) plus knowledge/quantitative/communication.
- Skills: preferred qualifications (machine learning, Python, Azure, etc.) plus maybe communication skills (though already in qualifications). Could also include technical skills.
- Benefits: statement about competitive pay and comprehensive benefits; maybe also mention Total Rewards link.
- Pay: salary ranges and bonus eligibility.
- Schedule: hybrid, full-time.
We should not include Requirements section if we don't have distinct content; we can omit it.
Now ensure we don't include boilerplate: EEO statement, "Zurich in North America does not discriminate..." etc. Remove.
Also remove "Location(s): AM - Schaumburg, AM - Chicago, AM - New York Remote Working: Hybrid Schedule: Full Time Employment Sponsorship Offered: No Linkedin Recruiter Tag:" We can incorporate location and schedule into About the role or Schedule section.
We need to preserve all substantive information: location (Schaumburg HQ, also Chicago, New York?), hybrid flexibility, full-time. We'll include location in About the role.
Now craft HTML.
We must output only HTML fragment, no /, no markdown fences.
Let's produce:
About the role
Zurich North America is seeking an Actuarial Senior Consultant to join the Actuarial Analytics team within Finance & Actuarial. The position is based at the North American Headquarters in Schaumburg, IL, with additional presence in Chicago and New York, and offers hybrid flexibility (office and remote) – you will collaborate with your manager to set a schedule that supports you, your customers, and the team. Actuarial Analytics provides leading‑edge models and explanatory tools for reserve analysis and loss forecasts, and this role focuses on actuarial‑specific predictive models, AI tool development, and stakeholder‑driven insights to improve reserving efficiency.
Responsibilities
- Work with large datasets and employ statistical techniques to analyze claims data and loss development
- Develop, implement, evaluate, and monitor advanced predictive models
- Deliver insights, produce diagnostics, and create tools to aid in reserving analyses
- Transform Finance Actuarial’s way of working and drive operational efficiency by collaborating with the reserving transformation team to create AI tools and agents
- Work closely with the Data Visualization team to help tell a story and improve transparency of the models to key stakeholders
- Partner with stakeholders to translate actuarial and business questions into actionable analyses
Qualifications
This role can be filled via either the Qualification track or the Non‑qualification track; the hiring manager will determine the appropriate level based on the applicant’s experience and skill set.
Basic Qualifications (Qualification track)
- Zurich Certified Insurance Apprentice, including an Associate’s Degree
- OR Bachelor’s Degree AND 5+ years of actuarial experience plus FCAS or equivalent international certification
- OR 10+ years of actuarial experience plus ACAS or equivalent international certification
Basic Qualifications (Non‑qualification track)
- Bachelor’s Degree and 5+ years of actuarial experience
- OR Zurich Certified Insurance Apprentice including an Associate’s Degree and 5+ years of actuarial experience
Additionally, candidates should have:
- Knowledge of insurance products and operations
for prose. We need to preserve all substantive information; do not invent or summarize away detail. We need to include a section ONLY when posting has real, specific content for it — never emit a heading followed by filler/placeholder text (e.g., "commensurate with experience", "not specified", "N/A", "varies", "TBD") and never create Pay/Schedule/Benefits sections unless posting actually states them. We have Pay info, so we can include Pay section. Schedule info: "Hybrid Schedule: Full Time" is given; we can include Schedule section. Benefits: we have statement about competitive pay and comprehensive benefits; we can include Benefits section. We also have "Why Zurich?" which is more about company culture; could be part of About the role or maybe a separate section like "About Zurich". But we only have headings list: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We can put culture in About the role. We need to decide what goes where. - About the role: brief overview of position, team, location, hybrid work, purpose. - Responsibilities: list of duties (the bullet points after "In this role you will be responsible for the following:"). - Requirements: maybe basic qualifications? But we have separate Qualifications and Skills headings. The instructions say we can use Requirements, Qualifications, Skills. We need to decide distribution. We have Basic Qualifications (Qualification track) and Basic Qualifications (Non-qualification track). Also Preferred Qualifications. Also "Knowledge of insurance products and operations", etc. Those could go under Qualifications. Skills: maybe list of technical skills: Python, Azure Databricks, Azure Data Factory, SQL, R, machine learning, predictive models, AI tools, etc. Also communication skills. We need to avoid duplication. Let's structure:
About the role
Zurich North America is seeking an Actuarial Senior Consultant to join the Actuarial Analytics team within Finance & Actuarial at the North American Headquarters in Schaumburg, IL. The role offers hybrid flexibility (office and remote) with a schedule set collaboratively with your manager. Actuarial Analytics provides leading‑edge models and explanatory tools for reserve analysis and loss forecasts, and this position focuses on actuarial‑specific predictive models, AI tool development, and stakeholder‑driven insights to improve reserving efficiency.
Responsibilities
- Work with large datasets and employ statistical techniques to analyze claims data and loss development
- Develop, implement, evaluate, and monitor advanced predictive models
- Deliver insights, produce diagnostics, and create tools to aid in reserving analyses
- Transform Finance Actuarial’s way of working and drive operational efficiency by collaborating with the reserving transformation team to create AI tools and agents
- Work closely with the Data Visualization team to help tell a story and improve transparency of the models to key stakeholders
- Partner with stakeholders to translate actuarial and business questions into actionable analyses
Qualifications
This role can be filled via either the Qualification track or the Non‑qualification track; the hiring manager will determine the appropriate level based on the applicant’s experience and skill set.
Basic Qualifications (Qualification track)
- Zurich Certified Insurance Apprentice, including an Associate’s Degree
- OR Bachelor’s Degree AND 5+ years of actuarial experience plus FCAS or equivalent international certification
- OR 10+ years of actuarial experience plus ACAS or equivalent international certification
Basic Qualifications (Non‑qualification track)
- Bachelor’s Degree and 5+ years of actuarial experience
- OR Zurich Certified Insurance Apprentice including an Associate’s Degree and 5+ years of actuarial experience
Additionally, candidates should have:
- Knowledge of insurance products and operations
- Experience applying quantitative concepts
- Experience communicating analysis results
for section headings, not . The instruction: "use for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule)." So we should not use . We need to keep everything under sections; we can use
for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule)." So we should not use . We need to keep everything under sections; we can use
sections; we can use
and
- inside. So we need to avoid extra heading levels. We can embed subheadings as bold text or just plain paragraphs. Probably better to keep as paragraphs.
Thus under Qualifications
, we can have paragraphs describing the tracks and bullet lists. Similarly Skills
can list technical skills and soft skills. We need to avoid duplication: Preferred Qualifications can go under Skills or Qualifications. Since we already have Qualifications covering basic qualifications, we can put Preferred Qualifications under Skills. Let's decide: - About the role: overview. - Responsibilities: duties list. - Qualifications: basic qualification tracks (both) plus knowledge/quantitative/communication. - Skills: preferred qualifications (machine learning, Python, Azure, etc.) plus maybe communication skills (though already in qualifications). Could also include technical skills. - Benefits: statement about competitive pay and comprehensive benefits; maybe also mention Total Rewards link. - Pay: salary ranges and bonus eligibility. - Schedule: hybrid, full-time. We should not include Requirements section if we don't have distinct content; we can omit it. Now ensure we don't include boilerplate: EEO statement, "Zurich in North America does not discriminate..." etc. Remove. Also remove "Location(s): AM - Schaumburg, AM - Chicago, AM - New York Remote Working: Hybrid Schedule: Full Time Employment Sponsorship Offered: No Linkedin Recruiter Tag:" We can incorporate location and schedule into About the role or Schedule section. We need to preserve all substantive information: location (Schaumburg HQ, also Chicago, New York?), hybrid flexibility, full-time. We'll include location in About the role. Now craft HTML. We must output only HTML fragment, no /, no markdown fences. Let's produce:
About the role
Zurich North America is seeking an Actuarial Senior Consultant to join the Actuarial Analytics team within Finance & Actuarial. The position is based at the North American Headquarters in Schaumburg, IL, with additional presence in Chicago and New York, and offers hybrid flexibility (office and remote) – you will collaborate with your manager to set a schedule that supports you, your customers, and the team. Actuarial Analytics provides leading‑edge models and explanatory tools for reserve analysis and loss forecasts, and this role focuses on actuarial‑specific predictive models, AI tool development, and stakeholder‑driven insights to improve reserving efficiency.
Responsibilities
- Work with large datasets and employ statistical techniques to analyze claims data and loss development
- Develop, implement, evaluate, and monitor advanced predictive models
- Deliver insights, produce diagnostics, and create tools to aid in reserving analyses
- Transform Finance Actuarial’s way of working and drive operational efficiency by collaborating with the reserving transformation team to create AI tools and agents
- Work closely with the Data Visualization team to help tell a story and improve transparency of the models to key stakeholders
- Partner with stakeholders to translate actuarial and business questions into actionable analyses
Qualifications
This role can be filled via either the Qualification track or the Non‑qualification track; the hiring manager will determine the appropriate level based on the applicant’s experience and skill set.
Basic Qualifications (Qualification track)
- Zurich Certified Insurance Apprentice, including an Associate’s Degree
- OR Bachelor’s Degree AND 5+ years of actuarial experience plus FCAS or equivalent international certification
- OR 10+ years of actuarial experience plus ACAS or equivalent international certification
Basic Qualifications (Non‑qualification track)
- Bachelor’s Degree and 5+ years of actuarial experience
- OR Zurich Certified Insurance Apprentice including an Associate’s Degree and 5+ years of actuarial experience
Additionally, candidates should have:
- Knowledge of insurance products and operations