📋 Job Details at a Glance 📍 Location Bangalore, Karnataka, India 🏢 Company HSBC 👥 Experience 1-3 years 🎓 Qualification Bachelor's or Master's degree in a quantitative or analytical field 📅 Eligible Batch 2021, 2022, 2023, 2024, 2025 📄 Job Type Full Time 💰 Salary ₹12.0 – ₹18.0 LPA 🏢 Industry Banking & Finance 🛠 Key Skills Python SQL Machine Learning data discovery models big data architectures modern visualization tools Manager, FC Risk Analysis and Discovery at HSBC — Full Details & How to Apply HSBC is seeking a Manager, FC Risk Analysis and Discovery in Bangalore, Karnataka, India , where you can leverage your analytical skills to combat financial crime. This role is pivotal as financial crime risks are escalating globally, making advanced analytics essential for identifying and mitigating these threats. The importance of the Manager, FC Risk Analysis and Discovery role in the Banking & Finance sector cannot be overstated. As financial institutions face increasing scrutiny and regulatory demands, the need for sophisticated risk analysis has never been greater. This position allows you to be at the forefront of HSBC 's efforts to enhance its risk management capabilities, ensuring the bank remains a leader in safeguarding its operations and customers. What sets HSBC apart as an employer is its rich history and global presence. Founded in 1865 , HSBC boasts over 230,000 employees worldwide and is recognized for its commitment to innovation and employee development. The bank's robust platform offers unparalleled opportunities for career growth, particularly in roles focused on risk analysis and financial crime prevention. We encourage 2021, 2022, 2023, 2024, 2025 graduates with a Bachelor's or Master's degree in a quantitative or analytical field and 1-3 years experience to apply. The salary for this role ranges from ₹12.0 – ₹18.0 LPA , making it an attractive opportunity for freshers looking to accelerate their careers in risk analysis. In this role, you will work with essential skills such as Python , SQL , Machine Learning , and modern visualization tools. Gaining exposure to big data architectures and data discovery models will not only enhance your technical expertise but also open doors to advanced career paths in analytics and risk management. 📊 Role Difficulty: Medium | Competition Level: Medium | Fresher Friendly: Yes NexisGrow.com features this opportunity as part of its curated non-tech job listings. All details are sourced from the official job posting. Apply online before the opportunity closes. Job Role & Responsibilities The core mission of the Manager, FC Risk Analysis and Discovery at HSBC is to enhance financial crime risk management through data-driven insights and advanced analytical techniques. Analyze financial transaction data using Python to identify systemic patterns indicative of financial crime. Utilize SQL for querying large datasets, supporting comprehensive risk analysis and reporting efforts. Collaborate with compliance and risk management teams to develop robust risk metrics that inform decision-making. Monitor and report on key performance indicators (KPIs) related to financial crime risk management initiatives. Take ownership of developing and implementing data discovery models to enhance risk detection capabilities effectively. Document findings and synthesize complex data into structured risk reports for various stakeholders. Engage with clients to understand their needs and provide tailored risk analysis solutions that meet specific requirements. This role fosters an ownership culture, allowing you to make a direct impact on the effectiveness of financial crime risk management strategies. Required Skills & Technical Competencies The skill profile for this role requires a blend of technical expertise and strong communication abilities to effectively analyze and present data insights. Technical Skills Python — advanced — essential for data manipulation and analysis, leveraging libraries like Pandas and NumPy. SQL — intermediate — used for database querying and management, critical for handling large datasets in risk analysis. Machine Learning — intermediate — applied to develop predictive models for identifying financial crime patterns. Data Visualization Tools — intermediate — experience with tools like Tableau or Power BI to present data insights effectively. Soft Skills & Professional Competencies Strong communication skills — necessary for articulating complex findings to non-technical stakeholders. Analytical thinking — crucial for interpreting data and identifying trends in financial crime risk. Problem-solving abilities — essential for developing innovative solutions to enhance risk detection. Attention to detail — important for ensuring accuracy in data analysis and reporting. Good to Have (Bonus Skills) Experience with cloud-based big data architectures , enhancing data processing capabilities. Familiarity with anti-money laundering (AML) regulations, providing context for risk analysis. Knowledge of statistical analysis techniques, which can improve the accuracy of risk assessments. When showcasing these skills in your resume or interview, emphasize specific projects or experiences that demonstrate your proficiency and impact in relevant areas. Eligibility Criteria This role is designed for recent graduates and early-career professionals with a strong analytical background and relevant technical skills. A Bachelor's or Master's degree in fields like Data Science, Statistics, Finance, or Computer Science is required. Eligible batches include 2021, 2022, 2023, 2024, and 2025 , allowing fresh graduates to apply. 1-3 years of experience is preferred, but freshers with relevant skills and internships are encouraged to apply. A minimum CGPA of 6.0 or equivalent percentage is expected to ensure a strong academic foundation. Internship experience in data analysis or financial crime risk can provide a competitive edge. Documentation & Portfolio Requirements Submit your resume in a clear format, including your academic qualifications, relevant skills, and any project or internship experiences that demonstrate your analytical capabilities. Pro tip: Highlight any specific projects where you utilized Python or SQL to solve real-world problems in your application. Salary for Manager, FC Risk Analysis and Discovery at HSBC 💰 Compensation ₹12.0 – ₹18.0 LPA The advertised compensation for the Manager, FC Risk Analysis and Discovery role at HSBC is ₹12.0 – ₹18.0 LPA . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Selection Process at HSBC The selection process at HSBC is designed to identify candidates who possess the necessary technical and analytical skills for the role. 1 Online Assessment — 60 minutes, testing analytical skills and programming knowledge. 2 Technical Interview — focuses on Python , SQL , and machine learning concepts. 3 Behavioral Interview — assesses cultural fit and problem-solving abilities through situational questions. 4 HR Interview — discusses salary expectations and company culture, with an offer timeline of 1-2 weeks. Topic-wise Preparation Guide Round 1: Online Assessment Data Structures — understanding arrays, lists, and dictionaries in Python — GeeksForGeeks SQL Queries — writing complex queries to extract and manipulate data — HackerRank Statistical Analysis — basics of probability and statistics relevant to risk assessment — Khan Academy Machine Learning Concepts — foundational knowledge of supervised and unsupervised learning — Coursera Round 2: Technical Interview Python Libraries — in-depth knowledge of Pandas and NumPy for data analysis — freeCodeCamp SQL Optimization — techniques for improving query performance — W3Schools Risk Metrics — understanding key performance indicators in financial crime — YouTube Data Visualization — best practices for presenting data insights — LinkedIn Learning Cloud Technologies — familiarity with AWS or Azure for big data processing — Coursera Round 3: Behavioral Interview Behavioral Questions — using the STAR method to articulate past experiences — MindTools Problem-Solving Scenarios — addressing hypothetical risk analysis challenges — GeeksForGeeks Technical Deep-Dive — discussing specific projects related to financial crime analysis — Khan Academy Timeline & Expectations The application to offer timeline typically spans 1-2 weeks, allowing for thorough evaluations at each stage. Prepare thoroughly for each round, focusing on both technical skills and cultural fit to align with HSBC 's values. Expected Interview Questions for Manager, FC Risk Analysis and Discovery at HSBC These questions are based on the role's actual tech stack and responsibilities. Technical Questions How do you handle missing data in a dataset using Python ? Explain the difference between supervised and unsupervised learning. What SQL functions would you use to aggregate data? Describe a machine learning model you have implemented. How would you visualize risk metrics for stakeholders? What steps would you take to optimize a SQL query? Behavioral Questions Describe a time when you identified a problem and solved it effectively. How do you prioritize tasks when faced with tight deadlines? Tell me about a project where you worked in a team and your role in it. How do you handle constructive criticism? Role-Specific Questions What techniques would you use to identify financial crime patterns? How do you ensure compliance with AML regulations in your analysis? Describe your experience with data discovery models. Structure your answers using the STAR method to clearly articulate your experiences and problem-solving approaches. Resume Tailoring & ATS Keywords for Manager, FC Risk Analysis and Discovery Optimizing your resume for ATS is crucial to ensure it gets noticed for this role. ATS Keywords to Include Financial Crime Risk Data Analysis Python SQL Machine Learning Data Visualization Risk Metrics Big Data Compliance Analytical Skills Statistical Analysis Cloud Technologies Resume Tips for This Role Highlight relevant coursework in data science or finance to demonstrate your analytical skills. Emphasize any internships or projects related to financial crime or risk analysis. Include specific tools and technologies you are proficient in, such as Python and SQL . Optimize your resume for ATS by using keywords from the job description. Avoid including unrelated work experience that does not showcase your analytical capabilities. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Do not include generic skills or experiences that do not directly relate to financial crime analysis. About HSBC HSBC was founded in 1865 in Hong Kong and Shanghai , and today operates in over 64 countries with a workforce exceeding 230,000 employees . The bank's global footprint allows it to serve millions of customers across various markets, making it a significant player in the banking and finance sector . HSBC offers a wide range of services, including retail banking , wealth management , and corporate banking . The bank's innovative platforms, such as HSBCnet and HSBC Mobile Banking , provide customers with seamless access to their financial services, enhancing user experience and operational efficiency. The company culture at HSBC is recognized for its inclusivity and employee development. With a Glassdoor rating of 4.0 , HSBC has received accolades for its workplace environment, including awards for employee satisfaction and growth opportunities . Programs like HSBC Leadership Development foster talent and encourage professional growth. Recently, HSBC announced a strategic focus on digital transformation , investing significantly in technology to improve customer experience. This includes initiatives in big data analytics and machine learning , positioning the bank at the forefront of innovation in the financial industry. For freshers in banking and finance , HSBC serves as a robust career launchpad. The bank provides unparalleled access to a global network and mentorship opportunities, allowing new employees to develop essential skills and gain valuable insights into the financial sector. Why Join HSBC as Manager, FC Risk Analysis and Discovery? Joining HSBC as a Manager, FC Risk Analysis and Discovery offers a unique opportunity to develop specialized skills in a globally recognized financial institution. Hands-on Experience — Gain practical knowledge in Python and SQL , essential tools for data analysis in the financial sector. Machine Learning Exposure — Work with advanced machine learning frameworks to enhance your technical skill set, making you a valuable asset in risk management. Career Advancement — After 1-2 years, potential career paths include Senior Analyst or Risk Manager roles, with numerous opportunities for internal mobility. Collaborative Culture — Experience a work culture that emphasizes teamwork and innovation, vital for personal and professional growth. Flexible Work Model — Benefit from a hybrid work model that allows for a balanced lifestyle, accommodating both professional responsibilities and personal life. According to NexisGrow.com, the role of Manager, FC Risk Analysis and Discovery at HSBC provides a solid foundation for a successful career in the banking and finance sector, with ample opportunities for skill development and advancement. Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for Manager, FC Risk Analysis and Discovery at HSBC? Eligibility Tap to expand + Answer Candidates with Bachelor's or Master's degree in a quantitative or analytical field and 1-3 years experience are eligible. Eligible batches: 2021, 2022, 2023, 2024, 2025. ? What skills are most important for this role? Skills Tap to expand + Answer Key skills: Python, SQL, Machine Learning, data discovery models, big data architectures. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: ₹12.0 – ₹18.0 LPA. Final offer depends on skills, experience, and interview performance. ? What is the interview process at HSBC? Interview Tap to expand + Answer Typically: Resume shortlisting → Online test → Technical interview(s) → HR round. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer Work mode varies by team. Confirm with HR during recruitment. ? What is the career growth path from this role? Growth Tap to expand + Answer Structured appraisals every 6–12 months. Senior roles accessible within 12–18 months based on performance. ? How do I apply? Application Tap to expand + Answer Apply via the official link in How to Apply section. Highlight: Python, SQL, Machine Learning, data discovery models, big data architectures. ? Is there a probation period? Probation Tap to expand + Answer Standard 3–6 months probation. Confirmation follows successful completion. ? How to prepare for the Manager, FC Risk Analysis and Discovery interview? Preparation Tap to expand + Answer (1) Core concepts of Python, SQL, Machine Learning, data discovery models, big data architectures, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) HSBC research, (5) Clear communication. ? What is the work culture like at HSBC? Culture Tap to expand + Answer Research on LinkedIn and Glassdoor for authentic employee reviews. NexisGrow.com features only verified employers. 🔗 Explore More on NexisGrow More jobs in Bangalore Browse all Non-Tech jobs More jobs at HSBC Work From Home jobs Ready to Apply? Don't Miss This Opportunity! Apply only via the official link. NexisGrow.com charges zero application fees. 👉 Apply Now — Official Link NexisGrow.com does not charge any application or registration fees. Beware of fraudulent offers. Naukri ki baat, NexisGrow ke saath • NexisGrow.com