Data Scientist

Key Responsibilities:

• Work with large datasets to identify patterns, trends, and anomalies that may indicate fraudulent activity
• Utilize data analytics tools and methodologies to conduct in-depth assessments and generate Fraud rules and reports on fraud trends (including first-party and third-party fraud).
• Collaborate with cross-functional teams, including risk management, operations, and compliance, to enhance fraud prevention measures.
• Monitor industry trends, regulatory changes, and best practices to continually enhance fraud prevention strategies.

Job Details:

Role:

Location:

Experience:

Work Mode:

Shift Timing:

Education:

• Bachelors degree in Computer Science, Statistics, Mathematics, Engineering, or a related field from Tier One/Top/Premier institutes of India/Abroad.

Technical Skills Needed:

• 3+ Years of proven data analytics experience in

  fraud

  prevention,

  risk

  management,

  or

  a

  related

  field.

• Experience in

  Designing, developing, and deploy

  ing machine learning

  models

  to

  detect and prevent fraudulent activities

  , such as

  Merchant Fraud, transactional fraud, account takeover, and identity theft etc.

• Strong experience in

  SQL or Python

• Familiarity with fraud detection software, risk assessment methodologies, and regulatory compliance.

Soft Skills:

• Strong analytical and problem-solving skills.
• Excellent communication and storytelling abilities.
• Detail-oriented with the ability to manage multiple projects.
• Collaborative and proactive mindset.

Keywords:

• Python, SQL, Fraud, Modelling

You can apply over email as well: Varun.Jain1@straive.com