Predictive Modelling Analyst at Allianz Technology

Bucharest, , Romania -

Full Time

Start Date

Immediate

Expiry Date

20 Dec, 25

Salary

0.0

Posted On

21 Sep, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Statistical Modelling, Machine Learning, Predictive Analytics, Data Science, SQL, Python, R, Emblem, SAS, GLMs, Decision Trees, Ensemble Techniques, Regularization Techniques, Bayesian Approaches, Data Interpretation, Collaboration

Industry

Financial Services

Description

Allianz Services is proud to serve and be part of Allianz Group, one of the world's leading insurers and asset managers. Our global footprint, with more than 7,300 employees located across ten countries and four continents, enables us to unlock value for our partners across the insurance value chain and deliver superior client experience within Allianz Group. At Allianz Services, we have a strong specialization in core insurance operations, shared services, business analytics, engineering, and management consulting. Our people and our trusted relationships with partners are what matter most. These are rooted in our values of compassion, integrity, and expertise and we strive to continuously evolve, improve, and deliver excellence while contributing successfully to the transformation of Allianz. Caring actively for the environment, for people, and for our customers is what makes us a great place to work and together we are shaping a better and more caring tomorrow. Allianz Services is a company which belongs to the legal entity, Allianz Technology SE. Job Rol Our Global Pricing Analytics team is seeking a Predictive Modelling / Data Science Analyst to build strong data driven pricing models for all Lines of Business across Allianz Commercial. This person will need to collaborate internationally with various stakeholders, both within Global Pricing and across other Allianz Commercial functions. Furthermore, this individual will support strategic Allianz Commercial projects, such as developing and driving data driven approaches to portfolio management. The Pricing Analytics team is part of the Global Pricing department at Allianz Commercial and is responsible for driving the use of Predictive Analytics within Pricing across Allianz Commercial globally. You will join an international department located across London, Munich, Bucharest, Chicago and New York. What will you do Apply statistical and data science techniques to support the development of predictive pricing models across a variety of business lines at Allianz Commercial Present and communicate modelling results and recommendations to internal stakeholders Help to improve the overall technical analytics capabilities of the Pricing Analytics team Develop a strong knowledge of the company’s data and data systems Work as part of a project team to drive forward the development of models What you bring Advanced degree in a quantitative field desirable, preferably with significant emphasis on statistical modelling or machine learning, e.g. Statistics, Data Science, Machine Learning, Computer Science or a related field 1-3 years’ experience working in an actuarial/technical role within the insurance industry desirable Knowledge of P&C insurance and pricing techniques Trainee P&C Actuary desirable You have Understanding of a wide range of classical and modern statistical and machine learning methods such as GLMs, decision trees, ensemble and regularization techniques etc. Experience with Bayesian approaches desirable Experience building and validating models using statistical software (Python, R, Emblem, SAS etc.) Ability to work efficiently and effectively with large data sets from a variety of sources, including both internal and external data. Strong SQL programming skills required Experience with version control tools such as GIT desirable Ability to effectively interpret data and modelling results, and to then communicate them to audiences with differing levels of technical understanding Ability to express ideas and messages clearly, both written and verbally Organised, self-motivated, results-oriented, collaborative and very resourceful Experience of working with colleagues located in different countries desirable Committed to personal development and passionate about continually learning new technical skills What we offer We support your well-being Access dedicated counseling services, mental health resources, and well-being sessions designed to keep you feeling your best Enjoy a personalized benefits package through a monthly budget on the Benefit platform, covering medical subscriptions, meal tickets, private pension plans, life insurance, Allianz Tiriac exclusive insurance discounts, and many more. Prioritize what truly matters with time off on your birthday, additional vacation days for each year with Allianz (up to five extra days), Paid leave on December 24th and 31st, plus the flexibility to swap weekend holidays for extra days off, and special allowances for significant life events. We invest in your growth Take advantage of an extensive learning curriculum tailored to support your career growth and meet your professional needs, with access to a wide range of technical and soft skills trainings, international certifications (including Agile, Lean Six Sigma, PRINCE2, ITIL, IFOA, ACCA, IACCM, and more), learning resources from LinkedIn and Allianz platforms, language development opportunities (German, French, English), and our dedicated Leadership Program to help you reach the next level. We value you and your work We acknowledge and recognize your work through performance-based rewards to celebrate your achievements, team, and individual recognition programs to celebrate your contributions and internal referral bonuses. Your personal information, including sensitive data, may be shared with Hiring Managers to evaluate your suitability for the role. Only candidates who meet the criteria will be contacted, and all applications will be treated with strict confidentiality. Allianz Group, , a trusted global insurance and asset management company, values inclusion, and integrity at its core. We foster an empowering environment that supports employee ambitions and challenges. Committed to fairness, we welcome applications from individuals of all backgrounds, regardless of ethnicity, age, gender, nationality, religion, disability, or sexual orientation. At Allianz, we encourage you to bring your whole self to work. #LI-EC1

Responsibilities

The Predictive Modelling Analyst will apply statistical and data science techniques to develop predictive pricing models across various business lines. They will also present modelling results and recommendations to internal stakeholders and improve the technical analytics capabilities of the Pricing Analytics team.