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Risk Model Analyst with Python and SQL

Risk Model Analyst with Python and SQL
ISO
6 months ago

Company Description

We help the world see new possibilities and inspire change for better tomorrows. Our analytic solutions bridge content, data, and analytics to help business, people, and society become stronger, more resilient, and sustainable.

Job Description

ISO's Analytic Products unit is looking for insurance analytic talent. This individual will contribute to the production of analytic rating products that are driven by predictive modeling, including the Risk Analyzer solutions suite for personal & commercial lines. You will be responsible for the key technical aspects of updating and enhancing the Risk Analyzer rating products, demonstrating actuarial and business value to customers, and ideating, researching, and deploying of new modeled products. In this role, you will be collaborating with not just members of the Analytic Products team, but various other teams across the organization to support the products. The ideal candidate is highly inquisitive, organized and detail oriented, able to work independently and customer solution minded.

Responsibilities

  • Maintain high-performing products.
  • Lead efficient production update cycles for accurate and timely product releases.
  • Utilize insurance ratemaking knowledge to properly contextualize Risk Analyzer models within the ISO rating plans and loss costs.
  • Help respond to questions from regulators and insurers on analytic product filings and circulars.
  • Use strong analytical skills to perform proof of concept tests on insurer portfolios and concisely communicate the results to demonstrate value of implementing Risk Analyzer.
  • Work with product management & other stakeholders to ensure timely and accurate delivery of products.
  • Collaborate with the data management and modeling teams to develop useful models that you will then 'productize' into customer-ready rating products.

Qualifications

  • Bachelor's or Master's degree or equivalent experience in a quantitative discipline such as statistics, actuarial, computer science, mathematics, economics, or operations research.
  • English at least B2 level - spoken and written is a must.
  • At least 2 years of work experience, especially related to actuarial, insurance/risk management, data management, and analytics.
  • Strong Excel skills are required, along with the ability to learn programming languages. Prior experience with SQL, SAS, R, and/or Python are a plus.
  • P&C insurance experience (1+ years) is preferred but not required.
  • Practical experience in quantitative and qualitative data analysis using tools such as SQL, Python, R, or SAS. SQL and Python experience are preferred.
  • Familiarity with statistical modeling techniques such as linear regression, GLMs, tree models, cluster analysis, and model validation is a strong plus.
  • Proactive, customer-focused candidate who operates with a sense of urgency.
  • Strong verbal and written communication skills, listening and teamwork skills, and effective presentation skills.
  • Aptitude in performing multiple tasks and dealing with changing deadline requirements.
  • Willingness to work in a hybrid model from a Cracow-based office.
  • We support pursuing a Casualty Actuarial Society (CAS)/ Chartered Property Casualty Underwriter (CPCU) credential.

Additional Information

For over 50 years, Verisk has been the leading data analytics and technology partner to the global insurance industry by delivering value to our clients through expertise and scale. We empower communities and businesses to make better decisions on risk, faster. At Verisk, you'll have the chance to use your voice and build a rewarding career that's as unique as you are, with work flexibility and the support, coaching, and training you need to succeed. For the eighth consecutive year, Verisk is proudly recognized as a Great Place to Work® for outstanding workplace culture in the US, fourth consecutive year in the UK, Spain, and India, and second consecutive year in Poland. We value learning, caring and results and make inclusivity and diversity a top priority. In addition to our Great Place to Work® Certification, we've been recognized by The Wall Street Journal as one of the Best-Managed Companies and by Forbes as a World's Best Employer and Best Employer for Women, testaments to the value we place on workplace culture.

  • Verisk Businesses
    • provides underwriting and rating solutions for auto and property, general liability, and excess and surplus to assess and price risk with speed and precision.
    • supports end-to-end claims handling with analytic and automation tools that streamline workflow, improve claims management, and support better customer experiences.
    • offers property estimation software and tools for professionals in estimating all phases of building and repair to make day-to-day workflows the most efficient.
    • provides risk modeling solutions to help individuals, businesses, and society become more resilient to extreme events.
    • provides an integrated suite of software for full end-to-end management of insurance and reinsurance business, helping companies manage their businesses through efficiency, flexibility, and data governance.
    • delivers data and insights to improve the reach, timing, relevance, and compliance of every consumer engagement.
    • offers end-to-end, data insight-driven core capabilities for carriers, distribution, and direct customers across the entire policy lifecycle of life and annuities for both individual and group.
    • provides intelligence on sustainability, resilience, and ESG, helping people, business, and societies become stronger.

Verisk Analytics is an equal opportunity employer. All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability.

Unsolicited resumes sent to Verisk, including unsolicited resumes sent to a Verisk business mailing address, fax machine or email address, or directly to Verisk employees, will be considered Verisk property. Verisk will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume. #LI-PM1 #LI-Hybrid

Expertise level

Key skills

SQL

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