Finance Analytics Engineer

About the Role 

This position is part of the Financial Data Solutions Hub within Corporate Solutions' Global FP&A department. You will play an important role of driving high quality analytics & insights by combining your outstanding technical and analytical skills with the insurance knowledge of the broader organization. 

The team's mandate is to be at the forefront of our technical and analytical capabilities to support Finance and the entire Business Unit with high-quality financial insights to help better steer our business by developing and exploiting modern prediction and data management techniques or introducing new ways of visually monitoring results. 

You will work at the direction of senior members of the team and directly with stakeholders. To ensure tangible impacts, you will build a strong foundation between Underwriting, Reserving, Risk Management analytics to link the financials to the insurance knowledge of the broader organization. 

We are looking for a highly motivated candidate who enjoys developing new ideas and who ensures its relevance and value in a very dynamic data analytics' environment. Furthermore, the role is expected to leverage the latest technological developments such as application of machine learning models, predictive modelling and Analytical Engineering techniques or new ways of visually monitoring results. If you are eager to further develop your problem-solving skills and to work with insurance specialists across various functions, you are the right person to join our highly ambitious team! Are you up for the challenge? 

Your key responsibilities will include to: 

• Design and support advanced Reporting and Automation Projects for finance team by leveraging advanced automation tools and technology. 

• Develop Complete End to End Business Solution to cover entire product lifecycle. 

• Develop forward looking views for generating strategic insights and actionable decisions. 

• Build advanced analytics and Data Science implementation like but not limited to Gen-AI , LLM Build. 

• Build and Maintain High Quality Analytical Solutions to support Data Insights Objective of the Organization 

• Create visualizations to analyze the data and work with business to provide insights 

• Extract data from a variety of systems, structuring these into analytic transforms for stakeholders, liaise and partner next to Finance with Underwriting, Risk, Reserving  

• Proactively drive new business cases for the analytics hub to expand its scope. 

About You 

Do you find this opportunity interesting? We welcome your application if: 

• You have a university degree with a primary or masters’ degree in a quantitative discipline, e.g. Applied Mathematics, Engineering, Computer Science 

• You have 4-7 more years of relevant working experience.  

• Have Good understanding and work experience in Data Science, Machine Learning Modules and Concepts 

• Sound Python, Spark ,  SQL skills with ability to query and analyze data; understand data complexity, models and structures. 

• Well-versed hands-on experience in SparkSql, PySpark and building automated transformation  

• Hand On Experience in Reporting and Visualization Tools like PowerBI\Tableau 

• Strong understanding of fundamental statistical concepts. 

• Capability to work with open source data & APIs 

• Good command of MS Excel including Pivot tables. 

To Apply for this position, you should have also these skills and knowledge: 

• Drive agile working style and create an energized and engaged work environment 

• Strong analytical skills and ability to deliver quality output to meet the deadlines and handle details without losing sight of the bigger picture 

• Ability to come up with solutions to loosely defined business problems 

• Strong communication skills, particularly the ability to summarize complex technical issues to non-expert audiences, both written and verbal 

• Comfortable challenging the status quo and/or senior management 

• Strong data skills and analytical acumen 

• Dynamic personality who enjoys taking accountability and ownership 

• Self-starter and able to work independently 

• Fluency in English is mandatory 

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.