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Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
The Lead Architect I role involves leading IT architecture strategies in the insurance industry, focusing on efficiency, business alignment, and architectural governance across multiple regions. It requires a deep understanding of data architectures and industry standards while managing and advising on enterprise initiatives.
Top Skills:
APIsAzureAzure Synapse AnalyticsData AnalyticsData ArchitectureData Mesh ArchitectureData WarehousingDatabricksDimensional ModelingETLKubernetesMedallion ArchitectureMicroservicesOlapOpenshiftSoa ArchitectureTogafZachman
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Assist in user requirements gathering, application development, testing, and support, while troubleshooting incidents and helping with AI solutions.
Top Skills:
BlueprismPower Automate
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Lead software engineer responsible for Azure cloud adoption, AI platform development, CI/CD pipeline management, and mentoring engineering teams.
Top Skills:
AIApplication InsightsAzureAzure MonitorCi/CdMlops
Description and Requirements
Position Summary
MetLife established a Global capability center (MGCC) in India to scale and mature Data & Analytics, technology and operations capabilities in a cost-effective manner and make MetLife future ready. The center is integral to Global Technology and Operations with a with a focus to protect & build MetLife IP, promote reusability and drive experimentation and innovation. The Data & Analytics team in India mirrors the Global D&A team with an objective to drive business value through trusted data, scaled capabilities, and actionable insights. The operating models consists of business aligned data officers- US, Japan and LatAm & Corporate functions enabled by enterprise COEs- data engineering, data governance and data science
Role Value Proposition:
We are looking for you: high performing data and analytics professional - driven by passion and purpose, to drive quality standards and support end-to-end development of actionable, high-impact AI solutions for MetLife's enterprise functions and lines of businesses across markets.
This position requires hands-on experience of developing an end-to-end Machine Learning/AI solution that can be leveraged for maximum business impact through on prem /cloud in both real time and batch mode depending upon business requirements. The role would collaborate with multiple stakeholders under the guidance of Lead/Director Data scientists to develop robust, stable, and scalable advanced analytics/machine learning solutions leveraging new age methodologies/techniques. Superior problem-solving ability, curiosity, strong coding skills and attention to detail are the key success factors.
Job Responsibilities
• Expert-level proficiency in at least one statistical tool language (R, Python) with a strong preference towards Python with excellent debugging skills
• Strong conceptual understanding of machine learning algorithms including linear regressions, classification algorithms, time series techniques, topic modeling etc.
• Good written, oral communication with ability to communicate effectively with stakeholders
• Basic to mid-level understanding of the insurance risk selection, underwriting practices and experience in analyzing the insurance portfolios is a plus
• Mentoring skills are considered as a plus
• Experience with Big Data platforms - Hadoop (Hive, Pig, Map Reduce, HQL)/Spark/H2O-Linux environment is considered as a plus
• Experience in technologies like Azure and advanced analytics concepts like Simulation, Deep Learning etc. are considered as a plus
Knowledge, Skills and Abilities
Education
Bachelor's degree in a quantitative field required; Masters or PHD preferred
Experience
About MetLife
Recognized on Fortune magazine's list of the "World's Most Admired Companies" and Fortune World's 25 Best Workplaces™, MetLife, through its subsidiaries and affiliates, is one of the world's leading financial services companies; providing insurance, annuities, employee benefits and asset management to individual and institutional customers. With operations in more than 40 markets, we hold leading positions in the United States, Latin America, Asia, Europe, and the Middle East.
Our purpose is simple - to help our colleagues, customers, communities, and the world at large create a more confident future. United by purpose and guided by our core values - Win Together, Do the Right Thing, Deliver Impact Over Activity, and Think Ahead - we're inspired to transform the next century in financial services. At MetLife, it's #AllTogetherPossible . Join us!
#BI-Hybrid
Position Summary
MetLife established a Global capability center (MGCC) in India to scale and mature Data & Analytics, technology and operations capabilities in a cost-effective manner and make MetLife future ready. The center is integral to Global Technology and Operations with a with a focus to protect & build MetLife IP, promote reusability and drive experimentation and innovation. The Data & Analytics team in India mirrors the Global D&A team with an objective to drive business value through trusted data, scaled capabilities, and actionable insights. The operating models consists of business aligned data officers- US, Japan and LatAm & Corporate functions enabled by enterprise COEs- data engineering, data governance and data science
Role Value Proposition:
We are looking for you: high performing data and analytics professional - driven by passion and purpose, to drive quality standards and support end-to-end development of actionable, high-impact AI solutions for MetLife's enterprise functions and lines of businesses across markets.
This position requires hands-on experience of developing an end-to-end Machine Learning/AI solution that can be leveraged for maximum business impact through on prem /cloud in both real time and batch mode depending upon business requirements. The role would collaborate with multiple stakeholders under the guidance of Lead/Director Data scientists to develop robust, stable, and scalable advanced analytics/machine learning solutions leveraging new age methodologies/techniques. Superior problem-solving ability, curiosity, strong coding skills and attention to detail are the key success factors.
Job Responsibilities
• Expert-level proficiency in at least one statistical tool language (R, Python) with a strong preference towards Python with excellent debugging skills
• Strong conceptual understanding of machine learning algorithms including linear regressions, classification algorithms, time series techniques, topic modeling etc.
• Good written, oral communication with ability to communicate effectively with stakeholders
• Basic to mid-level understanding of the insurance risk selection, underwriting practices and experience in analyzing the insurance portfolios is a plus
• Mentoring skills are considered as a plus
• Experience with Big Data platforms - Hadoop (Hive, Pig, Map Reduce, HQL)/Spark/H2O-Linux environment is considered as a plus
• Experience in technologies like Azure and advanced analytics concepts like Simulation, Deep Learning etc. are considered as a plus
Knowledge, Skills and Abilities
Education
Bachelor's degree in a quantitative field required; Masters or PHD preferred
Experience
- 5-8 years of experience in insurance analytics, data science or similar function
- Work with Lead Data Scientist to translate given business problem into analytical use-cases with defined outcomes
- Collaborate with Data Scientists to develop, implement and test most appropriate algorithms for a given use-case; be able to review the work of data scientists and provide guidance
- Translate statistical analysis to insights and recommendations and work with Data Engineers to automate / production Alize them
- Ensure coding standards as well as designing standards to ensure reusability
- Drive innovation by enhancing existing solutions and designing new ones
- Build collaboration and awareness in the global analytics community
About MetLife
Recognized on Fortune magazine's list of the "World's Most Admired Companies" and Fortune World's 25 Best Workplaces™, MetLife, through its subsidiaries and affiliates, is one of the world's leading financial services companies; providing insurance, annuities, employee benefits and asset management to individual and institutional customers. With operations in more than 40 markets, we hold leading positions in the United States, Latin America, Asia, Europe, and the Middle East.
Our purpose is simple - to help our colleagues, customers, communities, and the world at large create a more confident future. United by purpose and guided by our core values - Win Together, Do the Right Thing, Deliver Impact Over Activity, and Think Ahead - we're inspired to transform the next century in financial services. At MetLife, it's #AllTogetherPossible . Join us!
#BI-Hybrid
What you need to know about the Pune Tech Scene
Once a far-out concept, AI is now a tangible force reshaping industries and economies worldwide. While its adoption will automate some roles, AI has created more jobs than it has displaced, with an expected 97 million new roles to be created in the coming years. This is especially true in cities like Pune, which is emerging as a hub for companies eager to leverage this technology to develop solutions that simplify and improve lives in sectors such as education, healthcare, finance, e-commerce and more.
