Data Science Actuarial Analyst Mexico City Hybrid

Swiss Re; Xico; Presencial; MXN 200,000 - 400,000; Jornada completa

Descripción de la vacante

A leading global reinsurer is seeking a Data Science Actuarial Analyst in Veracruz, Mexico. This position requires a passion for data, programming skills in R, and a desire to continuously learn. As part of the Actuarial Control team, you will work on model development and data analytics projects while collaborating with various stakeholders to enhance risk management capabilities. An ideal candidate will have up to 5 years of relevant experience and be progressing towards a Fellowship qualification.

Formación

• Up to 5 years of commercial experience in an actuarial role.
• Progress towards Fellowship qualification with an actuarial body.
• Experience in data handling and statistical modelling.

Responsabilidades

• Work on model development and data analytics projects.
• Support teams in developing solutions to business problems.
• Assist with training Masterclasses and workshops.

Conocimientos

Data analytics

Programming

Communication

Educación

Bachelor's degree in Mathematics, Statistics, or a related field

Herramientas

R

Git

Descripción del empleo

About the Role

This role within Actuarial Control is suitable for new actuarial (or other similar) professional with up to 5 years of commercial experience with a passion for data, analytics, programming and automation, an interest in emerging technologies and passion to continuously learn, share knowledge, and develop others.

You will be supported to further develop your actuarial and statistical / machine Learning, programming skills and develop a deep appreciation of how technology shapes our risk landscape.

You will further develop your network and your communication and consultative skills through interaction and advisory with a wide range of stakeholders.

Model Development and Analytics Team Mandate

1. Support the Atelier programme - a Group-wide initiative which enables teams to combine their domain knowledge with programming, data science and communication skills in their daily work
2. Speed-up data analytics projects within Actuarial Control and across Risk Management

The team's remit is global and spans across Life & Health and Property & Casualty reporting directly to the Head of Actuarial Reserving P&C.

Main tasks

As a Data Science Actuarial Analyst, you will be working on various model development and data analytics projects in collaboration with other teams whilst developing further your technical and professional skills.

You will also collaborate with colleagues within Risk Management and across Swiss Re in helping to shape the way we improve Risk Management's ability to provide oversight of digital risk.

Some tasks include

• Support teams across Swiss Re develop solutions to business-as-usual problems and help them reduce operational and model risk and be more efficient and responsive to change
• Develop data analytics solutions for Actuarial Control and the wider Risk Management
• Assist on the development of best practice guidance notes and on the development and delivery of training Masterclasses on related topics and on the facilitation of hands-on workshops
• Be involved in the collaboration with IT on digital infrastructure projects
• Be involved in the collaboration with Risk Control teams on model and digital governance topics

About You

• A passion for data, analytics, programming and an interest in emerging technologies
• A passion to continuously learn, share knowledge, and develop others
• Ability to consult and deliver high quality output to the stakeholder's specification

Desired skills - we are interested to hear from you even if you don't self-identify with all the skills listed below (but with demonstrable interest to grow in your developing areas)

Desired Skills

• New professional with up to 5 years of commercial experience in actuarial (or other similar) role.
• Progressing towards a Fellowship qualification with an actuarial professional (or other similar) body.
• Modelling :
  • Understanding of the mathematical and statistical concepts underpinning actuarial & statistical modelling
  • Experience in supporting the delivery of technical pricing, reserving or other modelling work and in preparing documentation for defending methodology to peer-reviewers and oversight teams is a plus
• Data handling :
  • Experience in handling real-world client or internal data and understanding of data quality issues
  • Experience in handling data programmatically using R or other programming interfaces is a plus
• Programming :
  • Experience or interest in programming with R - you will need to develop strong R skills for this role;
  • Knowledge of computer science concepts and other languages or statistical environments is a plus; Experience in building R packages, including code versioning (Git), documentation and testing also a plus
• Communication :
  • Excellent written and oral communication skills and ability to communicate complex concepts to senior, non-technical audiences
  • Understanding of good visualisation principles and of the Grammar of Graphics framework is a plus
  • Experience in reproducible communication frameworks such as R Markdown and Shiny is a plus

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.

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.

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.