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REQUIREMENT_ID_207 β€’ 3-DAY_ACTIVE_POLICY

Business Services Analyst I

Company
Company Swissre
Type
Opportunity Type Internship
Salary
Stipend / Salary 6-8 LPA
Location
Location Bengaluru
Posted Date
Posted Date Today
AML screening International Trade Control data analysis MS Excel SQL attention to detail regulatory compliance investigative research communication problem solving
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Aptitude Practice Questions Open Resource β†—
Curated quantitative and logical reasoning problems to sharpen the analytical skills required for the online test at Swiss Re.
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Company Interview Preparation Guide Open Resource β†—
Insights on typical interview formats, common questions, and preparation tips for roles like Business Services Analyst at Swiss Re.
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Interview Preparation Resources Open Resource β†—
Comprehensive resources covering aptitude, technical, and HR topics to help candidates perform confidently in Swiss Re interviews.
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Algorithm & Data Structure Problem Set Open Resource β†—
Practice problems to enhance logical thinking and coding basics, useful for any technical screening component in Swiss Re's process.

Graduation (B.Com, BBA, B.Sc., B.Tech, or any relevant degree) with minimum 60% aggregate (or CGPA 6.0/10). No active backlogs. Freshers or candidates with up to 1 year of experience. Batch 2025 or 2026 preferred. Strong analytical mindset and good communication skills are essential.

1
Round 1: Online Aptitude Test
2
Round 2: Technical/Domain Interview (focus on AML, data analysis, case studies)
3
Round 3: HR Interview (fit, motivation, cultural alignment)
Swiss Re is one of the world’s leading providers of reinsurance, insurance, and other risk‑transfer solutions. With a heritage that spans more than 150 years, the company operates in over 25 countries and serves clients ranging from large multinational corporations to small‑medium enterprises. Swiss Re is known for its strong focus on innovation, data‑driven decision making, and a culture that encourages continuous learning and collaboration. The Bengaluru office plays a pivotal role in supporting global compliance, risk analytics, and business services functions, making it an ideal destination for fresh talent looking to start a career in the financial services sector. The Business Services Analyst I role is an entry‑level position designed for recent graduates with a keen interest in compliance, anti‑money‑laundering (AML) processes, and international trade controls. As a Business Services Analyst, you will be part of a dynamic team that safeguards the organization against financial crime, ensures adherence to regulatory standards, and contributes to the overall integrity of Swiss Re’s operations. The role offers exposure to real‑world AML screening, data verification, and cross‑functional coordination with compliance, risk, and operations teams. Key responsibilities include: 1. Executing regular AML and International Trade Control (ITC) screening and alert handling processes. 2. Conducting thorough research, verification, and analysis of flagged transactions to determine appropriate actions. 3. Maintaining high standards of quality and control to meet stringent regulatory requirements. 4. Coordinating with the Compliance team to report potential breaches and suspicious activities. 5. Performing quality assurance checks and monitoring to ensure process adherence. 6. Documenting findings and preparing concise reports for senior stakeholders. 7. Identifying opportunities for process improvement and standardization. 8. Assisting in the development and maintenance of AML/ITC policies and procedures. 9. Supporting audit activities and providing necessary documentation. 10. Collaborating with cross‑functional teams to resolve complex cases. The tech stack primarily involves advanced usage of MS Excel, SQL for data extraction, and specialized AML screening tools. Familiarity with data visualization tools such as Power BI or Tableau is advantageous. Over time, analysts can progress to senior analyst, compliance specialist, or risk manager roles, with clear pathways to leadership positions within Swiss Re’s global compliance and risk functions. Why join Swiss Re? The company offers a structured onboarding program, mentorship from seasoned professionals, and a culture that values diversity and inclusion. Freshers receive continuous training, exposure to international best practices, and the chance to work on high‑impact projects that directly influence the firm’s risk posture. Competitive compensation, performance‑linked incentives, and a supportive work‑life balance make Swiss Re an attractive launchpad for a rewarding career in financial services.

Swissre β€” Data Analytics & SQL 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 🎯
Swissre Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for Swissre 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 (AML screening, International Trade Control, data analysis, MS Excel, SQL, attention to detail, regulatory compliance, investigative research, communication, problem solving) & 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
Swissre 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 β–Ό
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 β–Ό
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 β–Ό
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 β–Ό
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 β–Ό
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 Swissre as a Business Services Analyst I?
Preparation Tip: Highlight Swissre's market reputation, recent tech innovations, and how your skills in AML screening 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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