Portfolio Analyst
Bangalore, KA, IN
About the role
This position is part of the APM team in Corporate Solutions. You will play an important role in driving high quality analytics & insights by combining your technical and analytical skills with the insurance knowledge of the broader organization.
As a Portfolio Analyst, you will contribute to and support data management and visualization activities using Palantir technologies.
About the Team
he APM team is comprised of a mix of highly experienced members already entrenched in advanced analytics and highly motivated newer members who thrives in a dynamic and fast learning environment. This team reports into the Chief Underwriting Officer and is part of the Actuarial Portfolio Management Unit.
About You
Convincing interpersonal skills and ability to maintain effective working relations in a multi-disciplinary and multi-cultural environment
Self-starter, organized, and able to handle multiple priorities and meet deadlines.
Able to apply quantitative skills, business knowledge, logical thinking and communicate the key message by visualization & presentation.
Roles & Responsibilities
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Design and implement data pipelines to extract, transform, and load data from various sources into dataset.
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Build and maintain dashboards which communicate policy, costing and related insights.
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Collaborating with peers and senior team members to optimize data management processes.
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Performing data quality checks and troubleshooting.
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Maintaining comprehensive documentation and data lineage across multiple systems.
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Contributing to developing and implementing data analytics solutions strategy.
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Providing support to the end consumers of the data.
About you
Professional experience
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Minimum 2-3 years of hands-on work experience in data field
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Hands-on experience in building ETL data pipelines is required.
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Proficiency with Python, PySpark, and SQL, or similar programming and query languages. TypeScript is a plus.
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Ability to pick up new technologies quickly.
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Experience with Palantir technologies is a plus.
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Demonstrated ability to analyze complex data-related challenges and to identify effective solutions.
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Experience with Scrum/Agile development methodologies is a plus.
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A Bachelor’s or Master’s degree in computer science, data or software engineering, or equivalent work experience.
Personal Skills
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You are motivated to focus executing on delivering high quality results on time
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You can articulate and communicate your work effectively and be comfortable in presenting your work to senior team members and leaders
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You work for the collective success of the team in close collaboration with senior team members. You are open and dependable; and demonstrate collaboration and intercultural competence.
Educational level
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A Bachelor’s or Master’s degree in computer science, data or software engineering, or equivalent work experience
About Swiss Re
Swiss Re is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. We cover both Property & Casualty and Life & Health. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 14,000 employees across the world.
Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability.
If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience.
Keywords:
Reference Code: 133156
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Computer Science Data Analytics Data management Data pipelines Data quality Engineering ETL Pipelines PySpark Python Scrum SQL TypeScript
Perks/benefits: Career development Flex hours Team events
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