Fraud Analytics

Sdna Global; Bengaluru; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Sdna Global in Bengaluru requires a client-facing analytics professional to work onsite with clients and manage multiple projects across geographies, coordinating teams across analytics and risk management while translating client requirements into presentations for senior management.

Key duties include validation and monitoring of fraud models (fraud, transaction fraud, mule accounts, graph and network models) and other advanced techniques such as XGBoost, Random Forest, deep learning; 5–8

Qualifications

• 5–8 years of analytics/risk/business experience.
• Experience in fraud analytics.
• Proficiency with SAS, R, SQL, VBA and Python; strong PowerPoint and Excel skills.

Responsibilities

• Client-facing onsite role with direct client interaction.
• Managing multiple projects across geographies.
• Leading teams across analytics and risk management projects.
• Preparing and presenting to senior management.
• Validating and monitoring fraud models (fraud, transaction fraud, mule accounts, graph and network models).

Skills

Fraud analytics

Client-facing communication

Presentation skills

Tools

SAS

R

SQL

VBA

Python

Job description

Role & responsibilities

Client facing onsite role Working directly with Client and managing Client Managing multiple project in multiple geographies Handling teams of multiple projects across different areas of analytics, risk management etc. Client Handling - Understanding client requirements, problems etc. Preparing presentation and presenting it to Senior Management (Client) Will be responsible of different project ranging from:

• Validation and monitoring of fraud models
• Validation and monitoring of transaction fraud model
• Validation and monitoring of mule account model
• Validation and monitoring of graph models
• Validation and monitoring of network models
• Validation and monitoring of other fraud models build on advanced techniques including XgBoost, Random Forest, Deep Learning, RNN, etc.

About You: You have 5 to 8 years of relevant analytics/risk/business experience and you are passionate about improving yourself. You have previous experience in fraud analytics. You have experience of SAS, R, SQL, VBA & Python, not to mention good power point and excel skills. However, knowledge of other applications would also be an advantage. You are aware that life as a consultant is challenging and, at times, extremely demanding. Our customers and our employees are our most important asset, and you are ready to do what it takes to generate good relations, both in-house and externally, and to develop world-class business intelligence capabilities.