N #1966
Applications open
Full-Time Job
Actuarial Process Developer
Honeybee Tech Solutions
About the role
Position Summary The Actuarial Software Engineer II will be responsible for designing, developing, and maintaining actuarial calculation software using modern, scalable .NET-based technologies . This role combines actuarial logic, software engineering, Excel/spreadsheet analysis, and insurance domain knowledge to build accurate, performant, and maintainable calculation engines and APIs used across sales, quoting, and illustration platforms. The candidate will work closely with Actuarial, Engineering, Product, and QA teams across India and the US to deliver accurate and compliant insurance solutions. Mandatory Skills 3+ years of professional software development experience Strong proficiency in C# and .NET Hands-on experience with .NET Core ASP.NET Core Experience developing Web APIs REST APIs Strong understanding of Object-Oriented Programming, SOLID principles, and Design Patterns Strong experience with SQL SQL Server Knowledge of: Query optimization Data modelling Database performance Strong Excel Spreadsheet skills Ability to interpret, validate, and translate complex Excel formulas and calculation models Experience with actuarial calculations Strong understanding of the Insurance domain Experience converting actuarial specifications, rate tables, and spreadsheet-based models into software Experience with Git Azure DevOps JIRA or similar tools Familiarity with Agile/Scrum Strong debugging, analytical, and problem-solving skills Strong attention to detail, particularly with financial and actuarial calculations Ability to bridge actuarial logic and software engineering Deal-Breaker Skill .NET Key Responsibilities Design, develop, and maintain actuarial calculation modules using C# and .NET. Translate actuarial specifications, rate tables, and Excel-based models into robust and testable software components. Develop and enhance APIs and calculation services supporting illustration and quoting platforms. Ensure actuarial calculations are accurate, performant, auditable, and maintainable . Apply object-oriented design principles and software engineering best practices. Write unit tests and support automated testing to ensure calculation accuracy. Debug, troubleshoot, and resolve calculation and system issues. Collaborate with Actuarial, Product, QA, and Engineering teams . Maintain clear technical and actuarial documentation. Provide accurate estimates and take ownership of assigned deliverables. Participate in Agile ceremonies and continuous improvement initiatives. Work effectively with distributed India and US teams . Good to Have Experience interpreting and validating financial and actuarial calculations Experience developing or supporting insurance illustration or actuarial systems Exposure to Life Insurance, Annuity, or Retirement products Experience with Entity Framework or other ORMs Knowledge of CI/CD pipelines Experience with performance optimization techniques such as: Caching Async processing Basic understanding of application security and data protection best practices Core Skill Keywords C# | .NET | .NET Core | ASP.NET Core | Web API | REST API | SQL Server | Actuarial | Excel | Spreadsheets | Calculation Engines | Insurance Domain | OOP | SOLID | Design Patterns | Git | Azure DevOps | JIRA | Agile/Scrum
Eligibility & process
Who can apply
Experience: 3-4 Yrs. Open to matching qualifications.
Skills & stack
Selection process
- Online Assessment / Technical Interview Rounds / HR Review
Prep kit
20 resourcesStudy material 4
Aptitude Practice Questions & Mock Tests
Curated logical, quantitative, and verbal reasoning problems for the initial online screening round.
Company-Specific Interview Preparation Corner
Detailed interview experiences, exam formats, and previous test questions for Honeybee Tech Solutions and tech roles.
Technical Placement Cheat Sheets & Question Bank
High-yield coding cheat sheets, core CS fundamentals (OOP, DBMS, OS, Networks), and rapid revision guides.
Algorithm, DSA & Live Code Debugger Practice
Hands-on problem sets to improve coding speed and step-by-step memory debugging.
Company-specific guides 4
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.
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.
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.
CODING PRACTICE
Algorithm and Data Structure Problem Set
Practice problems to improve coding proficiency and algorithm problem-solving speed for technical rounds.
Likely coding questions 4
Round-wise strategy 4
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 (DNS, SQL, Core, ASP.Net, C#, Engine, Azure Devops, OOPS) & 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.
Technical questions 5
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.
Behavioural & HR questions 3
Why do you want to join Honeybee Tech Solutions as a Actuarial Process Developer?
Highlight Honeybee Tech Solutions's market reputation, recent tech innovations, and how your skills in DNS directly solve their team's objectives.
Highlight Honeybee Tech Solutions's market reputation, recent tech innovations, and how your skills in DNS directly solve their team's objectives.
Describe a challenging bug or academic project roadblock and how you resolved it.
Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
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?
Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.
Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.