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REQUIREMENT_ID_1874 • 3-DAY_ACTIVE_POLICY N

Actuarial Analyst

Company
Company Honeybee Tech Solutions
Type
Opportunity Type Full-Time Job
Salary
Stipend / Salary Competitive Package (Best in Industry)
Location
Location Jaipur, India
Posted Date
Posted Date Today
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C# SQL Actuarial Insurance .Net
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Aptitude Practice Questions & Mock Tests Open Resource ↗
Curated logical, quantitative, and verbal reasoning problems for the initial online screening round.
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Company-Specific Interview Preparation Corner Open Resource ↗
Detailed interview experiences, exam formats, and previous test questions for Honeybee Tech Solutions and tech roles.
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Technical Placement Cheat Sheets & Question Bank Open Resource ↗
High-yield coding cheat sheets, core CS fundamentals (OOP, DBMS, OS, Networks), and rapid revision guides.
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Algorithm, DSA & Live Code Debugger Practice Open Resource ↗
Hands-on problem sets to improve coding speed and step-by-step memory debugging.

Experience: 3-6 Yrs. Open to matching qualifications.

1
Online Assessment / Technical Interview Rounds / HR Review
Actuarial Developer Experience: 3+ Years Location: Jaipur Work Mode: Work From Office (WFO) Notice Period: Immediate Joiners Only Position Summary- We are looking for an Actuarial Developer / Actuarial Software Engineer with strong experience in C# and .NET along with a good understanding of actuarial calculations, Excel spreadsheets, and the insurance domain . The role involves developing and maintaining actuarial calculation software, APIs, and calculation engines using modern .NET technologies. You will work closely with actuarial, engineering, product, and QA teams to build accurate, scalable, and reliable insurance solutions. Key Skills 3+ years of professional software development experience Strong proficiency in C# and .NET Hands-on experience with .NET Core / ASP.NET Core Experience in Web APIs and service-oriented architecture Strong understanding of Object-Oriented Programming, SOLID principles, and design patterns Good experience with SQL / SQL Server Knowledge of SQL query optimization, data modelling, and performance Strong Excel and spreadsheet analysis skills Ability to understand and validate complex Excel formulas and calculations Experience translating spreadsheet-based calculation logic into software Good understanding of Actuarial calculations Experience in the Insurance domain Strong debugging, analytical, and problem-solving skills Experience with Git, Azure DevOps, JIRA, or similar tools Familiarity with Agile/Scrum methodology Strong attention to detail, especially for financial and actuarial calculations Key Responsibilities Design, develop, and maintain actuarial calculation modules using C# and .NET Translate actuarial specifications, rate tables, and Excel-based models into robust software components Develop and enhance APIs and calculation services for insurance illustration and quoting platforms Validate actuarial and financial calculations for accuracy and consistency Write unit tests and support automated testing to ensure calculation integrity Debug and resolve application and calculation-related issues Collaborate with actuarial, product, QA, and engineering teams Maintain technical and actuarial documentation Ensure solutions are scalable, performant, auditable, and maintainable Participate in Agile ceremonies and continuous improvement activities Work effectively with distributed India and US teams Good to Have Experience with insurance illustration or actuarial systems Exposure to Life Insurance, Annuity, or Retirement products Experience with Entity Framework or other ORM technologies Knowledge of CI/CD pipelines Experience with performance optimization, caching, and asynchronous processing Basic understanding of application security and data protection Ability to work directly with customers to understand and validate calculation logic Mandatory Skills C# | .NET | .NET Core | ASP.NET Core | Web API | SQL | Actuarial | Excel | Spreadsheets | Calculations | Insurance Domain Preferred Candidate Candidates who have a strong combination of software development expertise and actuarial/insurance domain knowledge will be preferred. Strong Excel and calculation analysis skills are essential for this role.

Honeybee Tech Solutions — Data Analytics & SQL Interview Guide

Previously asked questions, exam syllabus, coding benchmarks & round strategy.

APTITUDE & LOGIC 📖
Aptitude Practice Questions & Online Mock Tests

Curated logical, quantitative, and verbal reasoning problems to sharpen reasoning skills required for the initial screening test.

Open Resource ↗
COMPANY GUIDE 🎯
Honeybee Tech Solutions Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for Honeybee Tech Solutions and off-campus tech roles.

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MOCK TESTS & PAPERS 📝
Comprehensive Interview Prep Resources & Syllabus

Collection of previous year questions, company-specific test patterns, and interview experiences for technical and HR rounds.

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CODING PRACTICE 💻
Algorithm and Data Structure Problem Set

Practice problems to improve coding proficiency and algorithm problem-solving speed for technical rounds.

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Round 1: Online Assessment (OA)
Aptitude, Quantitative Logic & 2 Coding Problems
Focus on accuracy and speed. Practice arrays, strings, and standard arithmetic puzzles.
Round 2: Technical Interview 1
Core Tech Stack (C#, SQL, Actuarial, Insurance, .Net) & Live Code Tracing
Explain your thought process aloud. Analyze time & space complexities before coding.
Round 3: System Design & Problem Solving
Database Schemas, APIs & Architecture Basics
Clarify edge cases, diagram schemas cleanly, and discuss scalability trade-offs.
Round 4: HR & Cultural Fit Discussion
Honeybee Tech Solutions Core Values, Learning Agility & Offer Terms
Demonstrate passion, strong communication, and readiness for full-time collaboration.
What is the difference between WHERE and HAVING clauses in SQL? Answer ▼
Model Answer: WHERE filters rows before any groupings are applied, while HAVING filters aggregated groups after GROUP BY has executed.
Explain SQL Window functions: ROW_NUMBER(), RANK(), and DENSE_RANK(). Answer ▼
Model Answer: ROW_NUMBER() assigns unique sequential integers. RANK() assigns identical ranks to ties and skips ranks. DENSE_RANK() assigns identical ranks to ties without skipping rank numbers.
How do you handle NULL and missing values during data cleaning in Python/Pandas? Answer ▼
Model Answer: Use .isna().sum() to identify missing values. Impute with mean/median using .fillna() or remove with .dropna(subset=[...]) depending on variance impact.
What is the difference between Star Schema and Snowflake Schema in Data Warehousing? Answer ▼
Model Answer: Star Schema has denormalized dimension tables directly connected to the central Fact table. Snowflake Schema normalizes dimension tables into sub-dimensions to minimize redundancy.
How do you calculate MoM (Month-over-Month) growth in SQL? Answer ▼
Model Answer: Use LAG(revenue, 1) OVER (ORDER BY month) to fetch the previous month's revenue and compute (revenue - prev_revenue) / prev_revenue * 100.
Why do you want to join Honeybee Tech Solutions as a Actuarial Analyst?
Preparation Tip: Highlight Honeybee Tech Solutions's market reputation, recent tech innovations, and how your skills in C# directly solve their team's objectives.
Describe a challenging bug or academic project roadblock and how you resolved it.
Preparation Tip: Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
How do you handle strict deadlines or sudden scope changes?
Preparation Tip: Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.

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