Rotational Analyst

Are you naturally curious? Does working with data excite you? 

If so, our Rotational Analytics program is for you!  This is an opportunity to fast track your professional development and career growth. 

The program is a 15-month rotation between 3 departments before placement in a participating department.  There are two different tracks, one that is focused on Finance/Reserving/Underwriting and another focused on Performance Analytics and Data Science.

Exposure to different areas of the business will allow you to broaden your business acumen and leverage your knowledge to translate data into insightful metrics.

At Allianz Partners, we foster a culture of collaboration, caring, and growth. If you’re looking for a work environment where you are valued for your ideas, your opinions, your desires, your unique background, and everything else that makes you, you – you’ll find it with Allianz Partners. 

Way of working:  Hybrid with two in‑office days (Tuesdays and Thursdays) in Richmond, Virginia.

What you do 

Finance/Reserving/Underwriting track

Finance:

• Understand & analyze monthly financial results; identify performance drivers & causes of variance to plan & prior year; present findings to leadership & make recommendations for improvement
• Monitor departmental spending, identify budget variances & make recommendations to budget owners & senior management
• Apply financial & economic concepts & use financial modeling techniques including ratio analysis, discounted cash flow (DCF), NPV/IRR and market analysis.  Leverage analytical & visualization tools to present findings
• Support rolling forecast & financial planning process
• Perform profitability analysis on business segments, including distribution channels

Reserving:

• Assist with premium and loss claim reserve analysis to assess the adequacy of relevant balance sheet items and to ensure there is sufficient capital to pay all claims

• Perform in-depth analyses of historical business performance to accurately forecast future liability and loss related trends
• Use statistical modeling to analyze and quantify company’s risk and uncertainty related to its insurance products
• Complete and deliver internal and external reports, including financial and risk reports

Underwriting/Pricing:

• Identify and predict trends within industries and partners.
• Analyze partner and industry data to determine impacts of internal and external changes.
• Provide analysis to support Sales and Client Services with regard to partner requests.
• Assist in Pro Forma development for potential new clients and projects, including partner project research.

Performance Analytics and Data Science track

Business Performance:

• Analyze complex partner and channel data for trends, highlight in-depth interpretations and provide in-depth root cause analysis
• Deliver timely, insightful, and actionable analysis
• Develop highly effective predictive methods that support and improve business decision-making
• Analyze effects of trends in customer behavior on revenue and profitability; recommend product, underwriting, sales, or marketing strategies that drive profitable growth.
• Identify sources of unprofitability on portfolio and collaborate with functional areas to determine strategic actions
• Develop processes and tools to monitor marketing, sales and profitability initiatives

Operations:

• Analyze data to define trends and identify opportunities for improvement in customer service and processes, as well as reporting on impact of trends
• Help compile and analyze data for presentations and prepare high quality materials geared to senior management
• Provide data analysis and reporting to support cross-divisional projects and respond to inquiries
• Support the organization’s budget process through ongoing units forecasting and staffing models

Data Science:

• Identify business opportunities through the use of algorithmic, statistical, visualization, and data mining techniques.

• Support the development of the data necessary to execute analytics solutions by collating and cleaning data from various sources to create input datasets.
• Support exploratory data analysis and feature engineering to prepare data for modeling.
• Build base models by selecting the appropriate approach per the data and business problem and carefully tune hyperparameters in order to produce the best result.
• Support the communication of results to technical and non-technical audiences including senior business leaders.

Work effectively in an environment shaped by artificial intelligence (AI), machine learning, data analytics, and cloud‑based tools, using insights responsibly and in alignment with our standards for data governance, security, and ethical use.

What you bring

• Bachelor’s Degree in Finance, Math or other quantitative field or Business Management 
• New college graduates highly preferred
• 0-2 years of related job experience or completion of relevant internship preferred
• Minimum overall GPA of 3.5 preferred
• Strong problem-solving abilities
• Professional, business-level oral and written communication skills
• Ability to work effectively with limited direction
• Must be adaptable to shifting work priorities
• Have previous exposure to modern reporting platforms such as Cognos , MicroStrategy or Power BI  as well as proficiency in SQL query language is preferred.

Annualized base pay range is $65,000 - $75,000 USD

Actual base pay may vary based upon factors such as relevant experience, qualifications, internal equity of peers, and geographic location. Employees may also qualify for performance-based bonuses, merit increases, and other incentives based on individual and company performance. The availability and amount of these additional compensation elements are determined by company policy and may vary.

Our employees play an integral part in our success as a business. We appreciate that each of our employees are unique and have unique needs, ambitions and we enjoy being a part of their journey.

We are there to empower and encourage you with your personal and professional development ensuring that you take control by offering a large variety of courses and targeted development programs. All that in a global environment where international mobility and career progression are encouraged. Caring for your health and wellbeing is key priority for us. This is why we build Work Well programs to providing you with peace of mind and give the flexibility in planning and arranging for a better work-life balance. We offer a comprehensive benefits package that includes health, dental, and vision insurance, retirement savings plans, paid time off, and other employee programs. Eligibility for benefits is subject to plan terms and conditions, and may vary based on position and/or employment status.  

At Allianz we use some AI-assisted technology as part of our recruitment process to help match candidates to roles based on skills, experience, job title, and location. AI supports our recruiters by enhancing the efficiency and accuracy of candidate assessments and job recommendations, while all applications are reviewed by our recruitment team and final hiring decisions are made by humans.

This posting is for an existing vacancy.

How We Hire

Allianz Partners does not accept unsolicited CV’s or approaches from agencies. We only work with partners on our approved supplier lists, under contract. Any unsolicited submission will not be considered.

94987 | Operations | Professional | Non-Executive | Allianz Partners | Full-Time | Permanent

Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges, is what makes us a unique employer. Together we can build an environment where everyone feels empowered and has the confidence to explore, to grow and to shape a better future for our customers and the world around us. 

At Allianz, we stand for unity: we believe that a united world is a more prosperous world, and we are dedicated to consistently advocating for equal opportunities for all. And the foundation for this is our inclusive workplace, where people and performance both matter, and nurtures a culture grounded in integrity, fairness, inclusion and trust.

We therefore welcome applications regardless of race, ethnicity or cultural background, age, gender, nationality, religion, social class, disability or sexual orientation, or any other characteristics protected under applicable local laws and regulations.

Join us. Let's care for tomorrow.