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Showing posts with label Financial Technology. Show all posts
Showing posts with label Financial Technology. Show all posts

Wednesday, October 1, 2025

Groww is Hiring Data Security Engineer Intern Hiring in Bengaluru – Apply Now | Placement Officer

 

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"Groww Data Security Engineer Intern Hiring 2025 Bengaluru"

🌐 Groww is Hiring  Data Security Engineer Intern Hiring in Bengaluru – Apply Now | Placement Officer

Summary

Groww is hiring a Data Security Engineer Intern for their Bangalore location, focusing on cutting-edge data security technologies including DLP, SASE, and DSPM platforms. This on-site internship offers hands-on experience in implementing security solutions, AI-driven automation using LLMs, incident response, and security assessments. The role requires proficiency in Python/Java, understanding of security concepts, and strong problem-solving skills. Ideal for cybersecurity enthusiasts passionate about financial technology and AI automation in security operations.


Detailed Job Description

Position Overview

Role: Data Security Engineer - Intern
Company: Groww (India's fastest-growing financial services company)
Location: Greater Bengaluru Area (On-site)
Experience Level: Internship
Application Status: 100+ applicants (Posted 2 days ago)
Focus Areas: Data Security, AI Automation, Incident Response

Company Context

Groww is revolutionizing financial services in India through a multi-product platform, focusing on customer obsession, ownership-driven culture, and making financial services accessible to every Indian.

Key Responsibilities

Security Platform Management

  • Implement, configure and tune Data Loss Prevention (DLP) systems
  • Manage Security Access Service Edge (SASE) platforms
  • Operate Data Security Posture Management (DSPM) solutions
  • Help maintain and optimize data security infrastructure

AI & LLM Security Automation

  • Automate security operations using AI and Large Language Models
  • Develop automated alert triage systems
  • Generate automated incident reports
  • Build intelligent response playbooks using AI technologies

Security Operations & Incident Response

  • Monitor security alerts and investigate potential data leaks
  • Assist in security incident response activities
  • Conduct security assessments across systems and applications
  • Identify and assess data security risks in various processes

Collaboration & Documentation

  • Work with engineering and business teams on security controls
  • Draft comprehensive incident reports and Standard Operating Procedures
  • Create security guidelines and documentation
  • Research emerging cybersecurity trends and threats

Essential Skills & Qualifications

Technical Skills

  • Programming: Proficiency in Python, JAVA or other scripting languages
  • Security Fundamentals: Solid understanding of networking, operating systems, and security concepts
  • Cybersecurity Tools: Familiarity with security platforms and monitoring tools
  • AI/ML Understanding: Interest in AI and Large Language Models applications

Professional Competencies

  • Analytical Skills: Strong problem-solving and analytical capabilities
  • Communication: Excellent written and verbal communication skills
  • Team Collaboration: Ability to work independently and within teams
  • Learning Agility: Quick adaptation to new technologies and concepts

Domain Knowledge

  • Data Security: Interest in data security, incident response, threat intelligence
  • Emerging Tech: Passion for AI and LLM applications in cybersecurity
  • Financial Services: Understanding of financial sector security needs (preferred)

Pro Tips for Successful Application

1. Technical Preparation

  • Develop Python/Java projects demonstrating security applications
  • Learn about DLP, SASE, and DSPM platforms through online resources
  • Understand basic AI/ML concepts and their security applications
  • Practice security incident response scenarios

2. Resume Customization

  • Highlight programming projects with security focus
  • Showcase understanding of data security concepts
  • Include any cybersecurity coursework or certifications
  • Demonstrate experience with automation and scripting

3. Skill Demonstration

  • Create a portfolio with security-related coding projects
  • Learn about Groww's security challenges in financial services
  • Practice explaining technical security concepts clearly
  • Show understanding of AI applications in cybersecurity

4. Company Alignment

  • Research Groww's products and security requirements
  • Understand their values: customer centricity, ownership, simplicity
  • Align with their vision of financial empowerment
  • Demonstrate passion for financial technology security

FAQs

Q: What is the expected duration of this internship?

A: While not specified, most internships at growing companies like Groww typically last 3-6 months.

Q: Is specific cybersecurity experience required?

A: The role emphasizes strong interest and foundational knowledge rather than extensive experience, making it suitable for motivated learners.

Q: What does "Easy Apply" mean?

A: This indicates a streamlined application process, possibly with fewer steps than traditional applications.

Q: Are there opportunities for full-time conversion?

A: While not stated, strong performance in internships at growing companies often leads to full-time offers.

Q: What makes this internship unique?

A: The focus on AI and LLM automation in security operations sets this apart from traditional security internships.

Q: What should I emphasize in my application?

A: Highlight programming skills, security interest, and understanding of AI applications in cybersecurity.


Why Join Groww?

Company Growth & Impact

  • India's fastest-growing financial services company
  • Mission to make financial services accessible to every Indian
  • Multi-product platform with millions of customers
  • Strong focus on customer obsession and innovation

Learning Environment

  • Exposure to cutting-edge security technologies
  • Hands-on experience with AI and LLM automation
  • Mentorship from experienced security professionals
  • Opportunity to work on real security challenges

Company Culture

  • Ownership-driven culture with high autonomy
  • Collaborative and transparent work environment
  • Space for individual growth and innovation
  • Challenging the status quo in financial services

About Groww's Vision & Values

Company Vision

  • Become trusted financial partner for millions of Indians
  • Empower informed financial decisions through technology
  • Cutting-edge multi-product platform development
  • Long-term thinking and sustainable growth

Core Values

  • Radical Customer Centricity: Customer needs at the forefront
  • Ownership-driven Culture: Personal accountability and initiative
  • Keeping Everything Simple: Streamlined processes and solutions
  • Long-term Thinking: Sustainable decision making
  • Complete Transparency: Open communication and honesty

Technology Focus Areas

Security Platforms

  • DLP (Data Loss Prevention): Preventing sensitive data breaches
  • SASE (Security Access Service Edge): Cloud-native security framework
  • DSPM (Data Security Posture Management): Data protection and compliance

Emerging Technologies

  • AI & LLM Automation: Intelligent security operations
  • Threat Intelligence: Proactive security monitoring
  • Incident Response: Rapid security breach management
  • Security Assessments: Comprehensive risk evaluation

Application Strategy

Key Differentiators

  • Demonstrate practical programming skills
  • Show understanding of modern security challenges
  • Highlight interest in AI/ML security applications
  • Emphasize alignment with Groww's mission and values

Preparation Steps

  1. Technical Foundation: Strengthen Python/Java and security basics
  2. Domain Research: Understand financial services security needs
  3. Project Development: Create relevant security automation projects
  4. Company Understanding: Deep dive into Groww's products and values

Conclusion

The Data Security Engineer Intern position at Groww offers an exceptional opportunity to enter the cybersecurity field within India's rapidly growing financial technology sector. This role provides exposure to advanced security platforms, AI-driven automation, and real-world security challenges in a customer-obsessed environment. The Bangalore location and Groww's innovative culture make this ideal for aspiring security professionals.

Ideal candidates should demonstrate strong technical foundations, passion for security innovation, and alignment with Groww's values of ownership and customer focus. The focus on AI and LLM applications provides a unique opportunity to work at the intersection of cutting-edge technologies and cybersecurity.

Application Tip: Showcase practical programming projects, demonstrate your understanding of data security concepts, and emphasize your enthusiasm for AI applications in cybersecurity. Highlight how your skills align with protecting financial data and serving millions of customers.

Groww provides a dynamic platform for security interns to develop cutting-edge skills while contributing to financial empowerment for millions of Indians, combining technical innovation with meaningful social impact.

🔗 Apply Link: Click Here To Apply for Groww

 

 

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Disclaimer
The recruitment details shared above are for informational purposes only and have been obtained from the organization’s official website. We do not guarantee any job placements. Recruitment will be conducted according to the company's official process. We do not charge any fees for sharing this job information.

#Groww #DataSecurityIntern #Cybersecurity #BangaloreJobs #DLP #AIsecurity #FinTechInternship

 



Tuesday, September 30, 2025

PayPal is Hiring Data Scientist | SQL Python | Bangalore | Placement Officer

 

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"PayPal Data Scientist Hiring in Bangalore – SQL, Python, Tableau – Fraud Risk Strategy Team 2025"

PayPal is Hiring Data Scientist |  SQL Python | Banglore | Placement Officer

Summary

PayPal is hiring a Data Scientist for their Credit Card Fraud Risk Strategy team in Bangalore, targeting professionals with 2-5 years of domain expertise in fraud prevention, risk management, or payments. This role focuses on safeguarding PayPal's UK credit portfolio through advanced analytics, fraud trend identification, and strategy development using SQL, Python, and Tableau. The position offers a hybrid work model (3 days in office) and the opportunity to impact millions of customers in the global economy. Ideal for analytical problem-solvers with exceptional communication skills and experience in financial risk management.


Detailed Job Description

Position Overview

Role: Data Scientist - Credit Card Fraud Risk
Company: PayPal
Location: Bangalore, Karnataka, India
Experience: 2-5 years
Team: Global Fraud Prevention - Credit Card Fraud Risk Strategy
Portfolio Focus: UK PayPal Credit (PPC) Card Program
Work Model: Hybrid (3 days in office, 2 days flexible)

Role Objective

Protect PayPal's credit portfolio from evolving fraud threats by developing data-driven strategies, monitoring portfolio health, and collaborating with cross-functional teams to optimize risk-reward balance.

Key Responsibilities

Fraud Risk Strategy & Ownership

  • Own end-to-end management of transaction fraud risk policies
  • Develop and optimize fraud prevention strategies for card risk, acquisition, and payment risk
  • Proactively identify emerging fraud trends and propose mitigation strategies
  • Maintain full ownership of portfolio fraud loss and decline rates

Advanced Analytics & Insights

  • Utilize SQL, Python, Advanced Excel, and Tableau for deep analytics
  • Develop monitoring and alerting capabilities for program health
  • Translate complex technical concepts into actionable business insights
  • Prepare KPI reports and present updates to senior leadership

Cross-functional Collaboration

  • Work closely with Credit Risk, Product, and Finance teams
  • Build relationships and drive results through influence and teamwork
  • Collaborate on strategies to optimize fraud prevention and transaction declines
  • Partner with global fraud risk professionals across the organization

Risk Assessment & Mitigation

  • Analyze and assess risks to provide informed recommendations
  • Develop strategies for fraud prevention and loss savings
  • Ensure optimal balance between risk management and customer experience
  • Stay ahead of evolving fraud threats in the payments industry

Essential Skills & Qualifications

Technical Expertise

  • Programming: Proficiency in SQL and Python
  • Analytics Tools: Advanced Excel, Tableau, and other analytics platforms
  • Data Analysis: Proven track record of using analytics to solve real-world problems
  • Monitoring Systems: Experience developing dashboards and alerting mechanisms

Domain Knowledge

  • Experience: 2-5 years in relevant domain
  • Industry Background: Payments, Transaction Risk Management, Credit, or Fraud Risk (preferred)
  • Risk Management: Understanding of fraud prevention strategies and risk assessment

Professional Competencies

  • Problem-Solving: Strategic, creative, and practical thinking for complex challenges
  • Communication: Exceptional written and verbal skills for diverse audiences
  • Collaboration: Strong relationship-building and cross-functional influence
  • Judgment: Excellent decision-making capabilities in ambiguous situations

Personal Attributes

  • Ownership: Accountable for own results and portfolio performance
  • Proactivity: Self-starter who works independently and proficiently
  • Adaptability: Comfortable with evolving fraud landscape and business needs
  • Resilience: Ability to thrive in fast-paced, challenging environment

Pro Tips for Successful Application

1. Resume Customization

  • Highlight specific fraud risk or financial risk management experience
  • Quantify impact on fraud prevention and loss reduction
  • Showcase SQL, Python, and Tableau proficiency with specific examples
  • Emphasize cross-functional collaboration and stakeholder management

2. Technical Preparation

  • Practice advanced SQL queries and Python data analysis
  • Prepare examples of fraud detection models or risk strategies
  • Review statistical analysis and machine learning concepts
  • Brush up on data visualization and dashboard creation

3. Domain Knowledge

  • Research current fraud trends in digital payments and credit cards
  • Understand UK financial regulations and compliance requirements
  • Study PayPal's credit products and fraud challenges
  • Learn about transaction risk management best practices

4. Interview Preparation

  • Prepare case studies demonstrating problem-solving in risk management
  • Practice explaining technical concepts to non-technical audiences
  • Be ready to discuss your approach to emerging fraud threats
  • Prepare examples of influencing without direct authority

FAQs

Q: What is the hybrid work schedule?

A: 3 days in office for collaboration and 2 days flexible (office or home).

Q: Is specific credit card fraud experience required?

A: While preferred, experience in payments, transaction risk, or general fraud risk is acceptable.

Q: What level of SQL/Python proficiency is needed?

A: Advanced proficiency with proven track record of solving real-world problems.

Q: Are there opportunities for career growth?

A: Yes, PayPal offers growth in the evolving credit card industry with cutting-edge challenges.

Q: What makes this role unique?

A: Direct impact on PayPal's credit offerings, global scale, and evolving fraud challenges.

Q: Is the role focused only on UK markets?

A: Primarily UK PPC portfolio, within PayPal's global fraud prevention organization.


Why Join PayPal?

Global Impact

  • Revolutionizing commerce for 25+ years across 200 markets
  • Empowering millions of merchants and consumers globally
  • Two-sided network connecting hundreds of millions of users
  • Innovative financial technology leader

Professional Development

  • Cutting-edge fraud prevention challenges
  • Continuous learning in evolving risk landscape
  • Growth in analytics and problem-solving skills
  • Exposure to global risk management practices

Company Culture

  • Core values: Inclusion, Innovation, Collaboration, Wellness
  • Passionate professionals celebrating successes
  • Supportive team environment
  • Commitment to diversity and belonging

About PayPal's Fraud Prevention

Organizational Context

  • Part of Global Risk Management (GRM) organization
  • Supports business lines in optimizing risk and reward
  • Enables profitable business growth through risk management
  • Global team with local market expertise

Strategic Importance

  • Safeguards customers and business from fraud threats
  • Data-driven strategy development and execution
  • Portfolio performance optimization
  • Cross-functional collaboration across risk domains

Benefits & Work Environment

Compensation & Benefits

  • Competitive salary and benefits package
  • Employee stock options
  • Health and life insurance
  • Flexible work environment

Work-Life Balance

  • Hybrid work model (3-2 split)
  • Mental health and wellness support
  • Inclusive and supportive culture
  • Professional development resources

Diversity & Inclusion

  • Equal employment opportunity commitment
  • Reasonable accommodations for disabilities
  • Diverse and inclusive workforce
  • Belonging and acceptance focus

Application Warning

Important: PayPal does not charge any fees for applications, interviews, or onboarding. Report any such requests as potential scams.

Conclusion

The Data Scientist position in PayPal's Credit Card Fraud Risk team offers a exceptional opportunity for experienced professionals to combat financial fraud at global scale. This role combines advanced analytics, strategic thinking, and cross-functional collaboration to protect PayPal's customers and business while enabling growth. The Bangalore location, hybrid work model, and PayPal's industry leadership make this a premier opportunity in financial technology risk management.

Ideal candidates should demonstrate strong analytical capabilities, domain expertise in risk management, and the ability to translate data insights into business impact. The role provides substantial opportunities for professional growth in the rapidly evolving payments and fraud prevention landscape.

Application Tip: Focus on quantifying your impact on fraud prevention, demonstrate your technical proficiency with specific examples, and highlight your ability to collaborate across functions and influence stakeholders.

🔗 Apply Link: Click Here To Apply for PayPal

 

 

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If you are satisfied with www.placement-Officer.com then kindly like & Share with more people

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Disclaimer
The recruitment details shared above are for informational purposes only and have been obtained from the organization’s official website. We do not guarantee any job placements. Recruitment will be conducted according to the company's official process. We do not charge any fees for sharing this job information.

 #PayPal #DataScientist #FraudRisk #BangaloreJobs #SQL #Python #FinTechCareers