AVP Insurance Analytics - NJ #2809
Location: Jersey City, NJ
Compensation: Competitive
Relocation: Available
Company is a major player in modeling and quantitative analysis related to insurance risk (P&C, health and soon Life), fraud detection (both front end and transactional), capital markets risk, payment, health risk, property risk, hazard analytics, climate, acquisition marketing, retention, cross-sale, and most other data-driven efforts in the consumer financial industry. They are seeking an AVP for Insurance Analytics.
Insurance Analytics is a rapidly growing unit, which aims to design, create and offer innovative data-driven products to the property and casualty insurance as well as life insurance and parts of the credit industry. We are aided by existing business with the overwhelming majority of insurance carriers. We have the freedom to explore external data sources and new statistical techniques, and are excited about delivering a whole new generation of solutions (most of which are 1.0 which we are designing).
You will apply your highly developed analytical skills to work on all aspects of the insurance value chain, ranging from pricing models, fraud detection, process triaging, and financial risk models to a variety of other analytics solutions.
You will apply your leadership experience, high energy level and business sense to supervise staff, manage analytics projects, propose analytics strategy, create related business cases, drive several large initiatives, lead customer programs and give presentations as a subject matter expert.
Responsibilities:
Independently leads data analysis and modeling projects from project/sample design, business review meetings with internal and external clients deriving requirements/deliverables, reception and processing of data, performing analyses and modeling to final reports/presentations, communication of results and sales support.
Leads the group responsible for insurance underwriting, rating, marketing and various first-to-market solutions (connected homes, auto OEM, etc.) for auto and property lines. Explores internal and external data to create innovative new products to be implemented at a variety of insurance carriers, brokers, marketing firms and other market players.
Functions as an insurance analytics expert on meetings with customers (insurance companies) and partner companies.
Manages staff including goal setting, performance evaluation, effective resource allocation and career/skill development, hiring and training.
Utilizes advanced statistical techniques to create high-performing predictive models and creative analyses to address business objectives and client needs.
Proactively and effectively communicates in various verbal and written formats with internal stakeholders on product design, data specification, model implementations, with partners on collaboration ideas and specifics, with clients and account teams on project/test results, opportunities, questions. Resolves problems and removes obstacles to timely and high-quality project completion.
Actively contributes to insurance analytics strategy by contributing ideas, preparing presentation/sales material for customers, and product design/business case materials for company leadership.
Follows industry trends in insurance and related data/analytics businesses. Contributes ideas and actively participates in the investigation and research of new processes, resources and technologies that can potentially be implemented to provide improved customer solutions or to broaden company's analytic consulting and related services capabilities.
Assures compliance with regulatory and privacy requirements during design and implementation of modeling and analysis projects.
Travels to client and partner meetings as needed (probably once per month or less.)
Qualifications:
Graduate-level degree with concentration in a quantitative discipline such as statistics computer science, mathematics, economics, or operations research OR Associateship/Fellowship in the Casualty Actuarial Society.
8+ years of experience with statistical modeling and data mining in a P&C insurance context using large and complex datasets. Experience with personal lines rating plan modeling is a strong plus. Knowledge of credit attributes is preferred but not required.
6+ years of management experience. Ability to effectively manage own and associates' time while multitasking between multiple projects in a dynamic business environment with a variety of internal stakeholders, partners and customers.
Strong verbal and written communications skills, listening and teamwork skills, and effective presentation skills. This is absolutely essential since you will have a lot of exposure to different internal groups (data, IT, product and sales) as well as third-party partners and customers (insurance companies).
Executive presence on high-level meetings. Credible functional expertise in P&C insurance and predictive analytics.
Expertise in statistical modeling techniques such as linear regression, logistic regression, GLM, tree models (CART, MART, CHAID), cluster analysis, principal components, and feature creation, validation.
Programming experience with SAS (STAT, macros, EM), R and other statistical software (Emblem, SPSS, Matlab).
Proficiency in creating effective and visually appealing PowerPoint presentations.
BOTTOM-LINE REQUIREMENTS: (Candidates must answer)
1. Graduate-level degree with concentration in a quantitative discipline such as statistics computer science, mathematics, economics, or operations research OR Associateship/Fellowship in the Casualty Actuarial Society.
Answer:
2. 8+ years of experience with statistical modeling and data mining in a P&C insurance context using large and complex datasets.
Answer:
3. 6+ years of related management experience.
Answer:
4. Executive presence on high-level meetings. Credible functional expertise in P&C insurance and predictive analytics.
Answer:
5. Expertise in statistical modeling techniques such as linear regression, logistic regression, GLM, tree models (CART, MART, CHAID), cluster analysis, principal components, and feature creation, validation.
Answer:
6. Programming experience with SAS (STAT, macros, EM), R and other statistical software (Emblem, SPSS, Matlab).
Answer:
Please send resume in Word format to andersonrecruiting2@gmail.com as an attachment and include salary, phone number and reference Job #2809. Candidates must also provide responses to the employer's BOTTOM-LINE REEQUIREMENTS which are numbered and listed above!
Location: Jersey City, NJ
Compensation: Competitive
Relocation: Available
Company is a major player in modeling and quantitative analysis related to insurance risk (P&C, health and soon Life), fraud detection (both front end and transactional), capital markets risk, payment, health risk, property risk, hazard analytics, climate, acquisition marketing, retention, cross-sale, and most other data-driven efforts in the consumer financial industry. They are seeking an AVP for Insurance Analytics.
Insurance Analytics is a rapidly growing unit, which aims to design, create and offer innovative data-driven products to the property and casualty insurance as well as life insurance and parts of the credit industry. We are aided by existing business with the overwhelming majority of insurance carriers. We have the freedom to explore external data sources and new statistical techniques, and are excited about delivering a whole new generation of solutions (most of which are 1.0 which we are designing).
You will apply your highly developed analytical skills to work on all aspects of the insurance value chain, ranging from pricing models, fraud detection, process triaging, and financial risk models to a variety of other analytics solutions.
You will apply your leadership experience, high energy level and business sense to supervise staff, manage analytics projects, propose analytics strategy, create related business cases, drive several large initiatives, lead customer programs and give presentations as a subject matter expert.
Responsibilities:
Independently leads data analysis and modeling projects from project/sample design, business review meetings with internal and external clients deriving requirements/deliverables, reception and processing of data, performing analyses and modeling to final reports/presentations, communication of results and sales support.
Leads the group responsible for insurance underwriting, rating, marketing and various first-to-market solutions (connected homes, auto OEM, etc.) for auto and property lines. Explores internal and external data to create innovative new products to be implemented at a variety of insurance carriers, brokers, marketing firms and other market players.
Functions as an insurance analytics expert on meetings with customers (insurance companies) and partner companies.
Manages staff including goal setting, performance evaluation, effective resource allocation and career/skill development, hiring and training.
Utilizes advanced statistical techniques to create high-performing predictive models and creative analyses to address business objectives and client needs.
Proactively and effectively communicates in various verbal and written formats with internal stakeholders on product design, data specification, model implementations, with partners on collaboration ideas and specifics, with clients and account teams on project/test results, opportunities, questions. Resolves problems and removes obstacles to timely and high-quality project completion.
Actively contributes to insurance analytics strategy by contributing ideas, preparing presentation/sales material for customers, and product design/business case materials for company leadership.
Follows industry trends in insurance and related data/analytics businesses. Contributes ideas and actively participates in the investigation and research of new processes, resources and technologies that can potentially be implemented to provide improved customer solutions or to broaden company's analytic consulting and related services capabilities.
Assures compliance with regulatory and privacy requirements during design and implementation of modeling and analysis projects.
Travels to client and partner meetings as needed (probably once per month or less.)
Qualifications:
Graduate-level degree with concentration in a quantitative discipline such as statistics computer science, mathematics, economics, or operations research OR Associateship/Fellowship in the Casualty Actuarial Society.
8+ years of experience with statistical modeling and data mining in a P&C insurance context using large and complex datasets. Experience with personal lines rating plan modeling is a strong plus. Knowledge of credit attributes is preferred but not required.
6+ years of management experience. Ability to effectively manage own and associates' time while multitasking between multiple projects in a dynamic business environment with a variety of internal stakeholders, partners and customers.
Strong verbal and written communications skills, listening and teamwork skills, and effective presentation skills. This is absolutely essential since you will have a lot of exposure to different internal groups (data, IT, product and sales) as well as third-party partners and customers (insurance companies).
Executive presence on high-level meetings. Credible functional expertise in P&C insurance and predictive analytics.
Expertise in statistical modeling techniques such as linear regression, logistic regression, GLM, tree models (CART, MART, CHAID), cluster analysis, principal components, and feature creation, validation.
Programming experience with SAS (STAT, macros, EM), R and other statistical software (Emblem, SPSS, Matlab).
Proficiency in creating effective and visually appealing PowerPoint presentations.
BOTTOM-LINE REQUIREMENTS: (Candidates must answer)
1. Graduate-level degree with concentration in a quantitative discipline such as statistics computer science, mathematics, economics, or operations research OR Associateship/Fellowship in the Casualty Actuarial Society.
Answer:
2. 8+ years of experience with statistical modeling and data mining in a P&C insurance context using large and complex datasets.
Answer:
3. 6+ years of related management experience.
Answer:
4. Executive presence on high-level meetings. Credible functional expertise in P&C insurance and predictive analytics.
Answer:
5. Expertise in statistical modeling techniques such as linear regression, logistic regression, GLM, tree models (CART, MART, CHAID), cluster analysis, principal components, and feature creation, validation.
Answer:
6. Programming experience with SAS (STAT, macros, EM), R and other statistical software (Emblem, SPSS, Matlab).
Answer:
Please send resume in Word format to andersonrecruiting2@gmail.com as an attachment and include salary, phone number and reference Job #2809. Candidates must also provide responses to the employer's BOTTOM-LINE REEQUIREMENTS which are numbered and listed above!