HSBC

3 days ago

Data Scientist- Business Risk

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Act as a fraud analytics SME for CIB Business Risk within merchant card acquiring, partnering with acquiring teams, Operations, Technology, Product, Compliance, and Financial Crime Risk. Build and deploy scalable fraud typologies, anomaly detection, rules/scorecards, and network analytics across the merchant lifecycle. Deliver robust ETL and cloud analytics pipelines, drive data-led decision-making to reduce fraud losses, and communicate findings in executive-ready formats.

Location: Bengaluru

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Act as a fraud analytics SME and trusted advisor for CIB Business Risk, supporting Fraud Risk Management for Merchant Card Acquiring across regions.
•Partner with business and risk stakeholders to drive data-led decisions that reduce fraud losses while protecting merchant and customer experience.
•Maintain knowledge of the merchant acquiring lifecycle and key fraud risks/control points across onboarding, underwriting, transaction processing, settlement, and disputes/chargebacks.
•Develop and deploy analytics strategies, including fraud typologies, anomaly detection, rules/scorecards, network/graph analytics, and segmentation/benchmarking.
•Deliver ETL and data pipeline capabilities across acquiring transaction feeds, merchant master data, onboarding data, and disputes/chargebacks, leveraging cloud analytics platforms.

Key Requirements

•Degree-level qualification (or equivalent experience) in Data Science, Computer Science, Statistics, Mathematics, Finance, or another quantitative discipline.
•6+ years of relevant experience, ideally in banking or financial services, using advanced analytical methods including regression, predictive modelling, data mining, and machine learning.
•Proficiency in Python and SQL (or similar), plus Alteryx, with experience in SAS, Spark, and/or Google Cloud Platform (GCP).
•Hands-on experience with cloud analytics platforms (GCP, Azure, AWS) and big data technologies (e.g., Hadoop, Spark).
•Strong technical skills in data mining and transformation, plus familiarity with Agile and cross-functional collaboration.

Experience:6+ yearsBankingFinancial servicesFraud analyticsMerchant acquiringFinancial crime

Education:

Skills:CommunicationInterpersonal skillsOwnershipAccountabilityCollaboration

Tech Stack:PythonSQLAlteryxSASSparkGCPGoogle Cloud PlatformAzureAWSRedshiftHadoopQlik SenseETL

Company Brief

HSBC

Global banking and financial services organisation offering retail, commercial, corporate and investment banking, wealth management, and global markets services across Europe, Asia, the Americas and the Middle East.

Industry: Banking

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: London, United Kingdom

Founded: 1865

Glassdoor: 3.6

Website LinkedIn

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HSBC

3 days ago

Data Scientist- Business Risk

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: Bengaluru

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Act as a fraud analytics SME and trusted advisor for CIB Business Risk, supporting Fraud Risk Management for Merchant Card Acquiring across regions.
•Partner with business and risk stakeholders to drive data-led decisions that reduce fraud losses while protecting merchant and customer experience.
•Maintain knowledge of the merchant acquiring lifecycle and key fraud risks/control points across onboarding, underwriting, transaction processing, settlement, and disputes/chargebacks.
•Develop and deploy analytics strategies, including fraud typologies, anomaly detection, rules/scorecards, network/graph analytics, and segmentation/benchmarking.
•Deliver ETL and data pipeline capabilities across acquiring transaction feeds, merchant master data, onboarding data, and disputes/chargebacks, leveraging cloud analytics platforms.

Key Requirements

•Degree-level qualification (or equivalent experience) in Data Science, Computer Science, Statistics, Mathematics, Finance, or another quantitative discipline.
•6+ years of relevant experience, ideally in banking or financial services, using advanced analytical methods including regression, predictive modelling, data mining, and machine learning.
•Proficiency in Python and SQL (or similar), plus Alteryx, with experience in SAS, Spark, and/or Google Cloud Platform (GCP).
•Hands-on experience with cloud analytics platforms (GCP, Azure, AWS) and big data technologies (e.g., Hadoop, Spark).
•Strong technical skills in data mining and transformation, plus familiarity with Agile and cross-functional collaboration.

Experience:6+ yearsBankingFinancial servicesFraud analyticsMerchant acquiringFinancial crime

Education:

Skills:CommunicationInterpersonal skillsOwnershipAccountabilityCollaboration

Tech Stack:PythonSQLAlteryxSASSparkGCPGoogle Cloud PlatformAzureAWSRedshiftHadoopQlik SenseETL

Company Brief

HSBC

Industry: Banking

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: London, United Kingdom

Founded: 1865

Glassdoor: 3.6

Website LinkedIn