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REQUIREMENT_ID_203 β€’ 3-DAY_ACTIVE_POLICY

Insurance Advisor

Company
Company Ditto
Type
Opportunity Type Internship
Salary
Stipend / Salary 3 LPA - 4 LPA
Location
Location Remote
Posted Date
Posted Date Today
Great communication skills Empathetic listening Customer service Consultative sales Analytical thinking Basic CRM usage English fluency Detail orientation Comfort with ambiguity Basic tech proficiency
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Aptitude Practice Questions Open Resource β†—
Helps you sharpen quantitative and logical reasoning skills essential for the assessment round.
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Company Interview Preparation Guide Open Resource β†—
Provides insights into typical interview formats and common questions asked by fintech startups like Ditto.
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Comprehensive Interview Prep Resources Open Resource β†—
Offers a collection of mock tests, resume tips, and interview strategies useful for the task and managerial rounds.

Graduates (any discipline). Strong command of English is mandatory; proficiency in any Indian language is a plus.

1
Round 1: HR Introductory Call
2
Round 2: Assessment Round (analytical test)
3
Round 3: Task 2 (role‑play or case study)
4
Round 4: Final Managerial Round
Ditto, a fast‑growing arm of the Finshots family and backed by Zerodha, is reshaping the Indian insurance landscape. With over half a million newsletter subscribers, Finshots has built a reputation for clear, data‑driven financial content. Leveraging that trust, Ditto offers advice‑led, customer‑first insurance solutions that cut through the noise of traditional sales‑heavy or overly academic approaches. The company operates entirely online, allowing it to serve customers across India while maintaining a lean, tech‑savvy culture that encourages experimentation and rapid learning. The role of Insurance Advisor sits at the heart of Ditto’s mission. As a remote, full‑time team member, you will engage with inbound customers who have already expressed interest in insurance guidance. Your job is not to push products but to listen, diagnose needs, explain trade‑offs, and recommend the most suitable policies. When a genuine need is identified, you will help the customer complete the purchase, ensuring a smooth, confidence‑building experience. This consultative sales model blends empathy with a results‑oriented mindset, making it ideal for candidates who enjoy deep conversations and value ethical selling. **Key Responsibilities** 1. Respond to inbound customer inquiries via phone or video call. 2. Conduct thorough needs analysis to understand financial goals and risk appetite. 3. Explain complex insurance concepts in simple, jargon‑free language. 4. Recommend appropriate insurance products from partnered providers. 5. Guide customers through the policy selection and purchase process. 6. Maintain accurate records in the CRM and ensure data integrity. 7. Follow up post‑sale to address any queries and gather feedback. 8. Continuously update product knowledge through internal training. 9. Meet monthly advisory and conversion targets while upholding ethical standards. 10. Contribute ideas to improve the advisory workflow and customer experience. **Tech Stack & Tools**: The role uses a cloud‑based CRM (custom built), video conferencing tools (Zoom/Google Meet), basic spreadsheet software, and internal knowledge bases. No deep technical expertise is required, but comfort with digital tools is essential. **Growth Path**: Starting as an Insurance Advisor, high performers can progress to Senior Advisor, Team Lead, or specialize in product strategy, training, or operations. The company invests heavily in continuous learning, offering workshops, mentorship, and exposure to fintech product development. **Why Join Ditto?** - Work from anywhere with flexible hours (10β€―am‑8β€―pm). - Be part of a mission‑driven startup backed by reputable investors. - Competitive entry‑level salary with health & term insurance, wellness benefits, and menstrual leaves. - Regular offsites, team events, and a culture that values empathy, curiosity, and personal growth. - No cold‑calling pressure; you’ll only engage with customers who have actively sought help. Overall, this role offers a unique blend of customer service, consultative selling, and fintech exposureβ€”perfect for fresh graduates eager to launch a career in insurance advisory.

Ditto β€” AI & Machine Learning Interview Guide

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

APTITUDE & LOGIC πŸ“–
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 β†—
COMPANY GUIDE 🎯
Ditto Interview Preparation Corner

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

Open Resource β†—
MOCK TESTS & PAPERS πŸ“
Comprehensive Interview Prep Resources & Syllabus

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

Open Resource β†—
CODING PRACTICE πŸ’»
Algorithm and Data Structure Problem Set

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

Open Resource β†—
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 (Great communication skills, Empathetic listening, Customer service, Consultative sales, Analytical thinking, Basic CRM usage, English fluency, Detail orientation, Comfort with ambiguity, Basic tech proficiency) & 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
Ditto Core Values, Learning Agility & Offer Terms
Demonstrate passion, strong communication, and readiness for full-time collaboration.
What is the bias-variance tradeoff and how do you prevent overfitting? Answer β–Ό
Model Answer: High bias leads to underfitting (oversimplified model), high variance leads to overfitting (captures noise). Mitigate using L1/L2 Regularization, Dropout, Cross-Validation, and data augmentation.
Explain the difference between Precision, Recall, and F1-Score. Answer β–Ό
Model Answer: Precision = TP / (TP + FP) (correctness of positive predictions). Recall = TP / (TP + FN) (coverage of actual positives). F1-Score is the harmonic mean of Precision and Recall.
How does Gradient Descent work and what is the role of Learning Rate? Answer β–Ό
Model Answer: It optimizes loss functions by iteratively moving weights in the direction of negative gradient. A large learning rate may overshoot the minimum; a small rate causes slow convergence.
What is the difference between Supervised, Unsupervised, and Self-Supervised learning? Answer β–Ό
Model Answer: Supervised uses labeled data (X -> y). Unsupervised finds hidden patterns in unlabeled data (clustering/PCA). Self-supervised generates labels from input data (e.g. masked language modeling in BERT/Transformers).
Why do you want to join Ditto as a Insurance Advisor?
Preparation Tip: Highlight Ditto's market reputation, recent tech innovations, and how your skills in Great communication skills 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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