20 publicaciones de empleo destacadas de quick learning en miguel hidalgo, dif (¡Están contratando!)

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Actuarial Analyst, Mexico City (MX)

Swiss Re -
Ciudad de México, CDMX

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Información del empleo

Cualificaciones

Administración de personal
Experiencia en ventas
Visual Basic
R
Matemáticas
Inglés
Maestría
SQL
Licenciatura
Análisis de riesgo
Habilidades de organización
VBA

Descripción completa del empleo

Location: Mexico City, MX

Join our dynamic team in Mexico City where you'll develop your analytical expertise, solve complex risk management challenges, and gain invaluable industry experience in a global reinsurance leader.

About the Role

As an entry-level Actuarial Analyst, you'll gain hands-on experience supporting our Life & Health Actuarial Reserving operations with meaningful work that contributes directly to our business outcomes while developing your professional skills.

Key Responsibilities

Learn and assist with model construction and validation for actuarial analysis and risk assessment
Develop your analytic skills by participating in experience studies to analyze performance and identify trends
Support financial reporting processes, including Swiss STAT and IFRS17 reporting

About the Team

Our results-oriented team focuses on actuarial reserving on Latin America's Life and Health businesses. We're passionate about actuarial data analysis and provide accurate financial reporting for our block of business. Working with us means joining a collaborative environment where you'll receive mentorship and your contributions will have meaningful impact across multiple business areas.

About You

You're a motivated, enthusiastic, and goal-driven actuarial student who thrives in a learning environment. Your passion for problem-solving and innovation enables you to think outside the box and develop creative solutions with tangible results.

We are looking for candidates who meet these requirements:

Currently pursuing a Bachelor's or Master's degree in Actuarial Science, Mathematics, or related fields
Exceptional academic performance (GPA of 3.0 and above)
Excellent oral and written communication skills, especially competence in English
Completion of 2 or more actuarial exams (preferred)

These are additional nice to haves:

Familiarity with AXIS, SQL, R and VBA
Previous internship experience in insurance, sales, or business
Quick learning ability with enthusiasm for developing new skills
Strong organizational skills with ability to manage multiple projects
Collaborative approach with ability to work effectively in teams
Innovative thinking and curiosity about the reinsurance industry

Our company has a hybrid work model where the expectation is that you will be in the office at least three days per week.

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 15,000 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.

We may use AI-powered tools to support the review and evaluation of applications for this position. These tools provide additional insights to our recruitment teams, but all hiring decisions are carefully reviewed and made by people. To learn more about how we use AI in recruitment and how we handle your personal data, please review our Data Privacy Statement before applying.

Keywords:
Reference Code: 137884

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