Sr Model QA Analyst I (Catastrophe Modeling)

Job Description

As a Sr. MQA Analyst you will work with products that stretch the limits of technology within a unique synergy of cutting-edge science, finance and state of the art software and hardware technologies. You will build your own expertise and knowledge base, adding to your experience in delivering reliable and robust solutions for the analytical marketplace. You will use your multi-tasking abilities along with your excellent verbal and written communication skills as the key to your success. If you are an individual who cares passionately about quality and knows how to meet or beat customer quality expectations, then this position offers you an excellent opportunity for professional and technical growth.

Role & Responsibilities:

• Read all the requirement documents and understand the scope of Model/Product feature updates and identify the scope of testing
• Develop understanding on natural catastrophes such as Earthquake, Cyclone and Floods etc. and key parameters that drive the occurrence and spread of any natural event. Further understand the process of generation of stochastic Models and the modelling approach.
• Prepare/approve detailed Test plan of multiple models as per model implementation, physics of the phenomenon and client demand and ensuring the test coverage
• Timely execution of test plans and delivery of multiple products that have concurrent delivery schedules
• Validate probabilistic Model outputs from different platforms and test for the loss number consistency across platforms
• Perform statistical and mathematical analytics on Model outputs
• Perform explicit and or implicit validation of scientific/ financial algorithms to ensure that products meet requirements for output reasonability
• Thorough understanding of every test scenario/feature and ensuring all aspects are tested
• Training and guiding newcomers to ramp up the learning curve in quick time
• Present developed test plans and test results conducted to the peer groups
• Estimating the project time
• Tracking requirement updates and estimating its impact on project testing and timelines
• Taking care of hardware and software requirements for the test setup
• Collaborate with Model development and product owner teams to get the timely fix for defects reported
• Author and present technical reports/documents of analytical work detailing complex procedures
• Responsible to prepare technical model studies and conduct internal trainings on those topics to the team
• Peer review another Analyst work
• Designing and helping in creation of architecture for test automation
• Take ownership of a complete process from end to end
• Provide regular status updates to product owners and enable transparency and timeliness in the product delivery decision making process
• Implement and or expand use of automated testing practices throughout the life cycle
• Collaborate with peer teams to facilitate timely completion of projects
• Ability to multitask to manage concurrent delivery of multiple enterprise grade products
• Gain command on Touchstone software by understanding the various functionalities involved in the product and get a grasp of any new technology needed.

Qualifications

• Minimum of bachelor's degree or equivalent in Engineering, Mathematics, or Statistics with excellent credentials
• 3 -6 years of relevant experience as analysts for a computational analytics company or catastrophe modeling
• Thorough understanding and hands on experience with relational databases such as MS-SQL, with ability to mentor and train others
• Experience with large data sets analysis and manipulation
• Experience with statistical, mathematical software packages like R/Python or generally with analytical software Good working knowledge in MS Excel Ability to process geo-spatial data using the standard GIS software, such as QGIS, ArcGIS, etc.
• Ability to identify patterns and make thorough observations out of numerical data sets and draw mathematical relationships out of it
• Experience with designing and /or validating numerical probabilistic models in engineering, science, catastrophe modeling, finance, actuarial science, etc.
• Programming skills to include numerical, scientific and databases programming
• Proven analytical and problem-solving quantitative abilities
• Excellent attention to detail and experience working in distributed and global teams with diverse cultural backgrounds
• Superior verbal and written communication skills, to interface with cross-functional teams that are talented, culturally diverse, global and widely varying technical skill sets
• Knowledge of product development life cycles to ensure the critical role of quality assurance teams
• Logical and clear thinker having made sound process driven decisions
• Multitasking ability with focus on accuracy and efficiency.

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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 Companiesand by Forbesas a World's Best Employer and Best Employer for Women, testaments to the value we place on workplace culture.

We're 7,000 people strong. We relentlessly and ethically pursue innovation. And we are looking for people like you to help us translate big data into big ideas. Join us and create an exceptional experience for yourself and a better tomorrow for future generations.

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. Verisk's minimum hiring age is 18 except in countries with a higher age limit subject to applicable law.

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.