Accertify enables commerce by doing one thing extraordinarily well: pinpointing fraud. The company's Predictive Yes Platform helps businesses say yes to more - more good customers, more revenue, and more growth - without getting burned. It's a precise, confident, data-backed yes, made possible by joining signals across the entire customer lifecycle through unmatched data volume, layered AI-powered models, and a consortium approach that protects clients from bad actors spotted anywhere in the network while unlocking business with good actors verified anywhere in the network. With more than 10 billion transactions and over $1 trillion in commerce processed in 2025 alone, Accertify delivers the intelligence and precision that fraud and payments teams need to say yes confidently and enable growth. That's the More Yes difference.

 Essential Duties & Responsibilities: 

• Deliver fraud prevention solutions for Accertify clients
• Understand the key drivers/behaviors associated with different types of Fraud
• Being abreast of the latest fraud trends and problems being faced by the industry and Accertify clients
• Drive Modeling innovation: Develop new and enhance existing models by utilizing the best-in-class machine learning / AI techniques
• Elevate Data Science: Perform Feature Engineering using data from clients spanning various industries across the globe to improve the model's risk discrimination or improve economics over and above the existing framework
• Partner and collaborate with multiple Accertify colleagues to implement models & develop Capabilities that will help in more optimal decisions and drive revenue 

Critical Factors to Success:

• Business Outcomes: Drive Revenue growth and profitability through advanced analytical techniques; innovate in modeling techniques and Variable creation.
• Leadership Outcomes: Put enterprise thinking first. Connect the role's agenda to enterprise priorities and balance the needs of customers, partners, and colleagues.
• Lead with an external perspective - challenge the status quo and bring continuous innovation to our existing offerings while keeping a keen eye on industry/competition
• Build the Best Team - nurture and enhance the team's ML/AI skills, data expertise, and Consulting skills
• Demonstrate Learning Agility - make decisions quickly with the highest level of integrity

Skills & Qualifications:

• 1-3 years of relevant experience in the Analytics/ Modelling/ Decision Science domain
• Postgraduate in Statistics/Mathematics/Economics/ Engineering/Management
• Data Science/Machine Learning/Artificial Intelligence: Gradient Boosting Machines, Deep Learning, Unsupervised Techniques, Decision Trees, etc.
• Understanding of Advanced Statistical Techniques and Key model performance metrics ex. Data Correlation; AUC/GINI, Precision, Recall
• Knowledge of R, Python, PySpark, SAS, SQL; Advanced Excel and PowerPoint

Behavioral Skills/Capabilities:

• Strong quantitative skills with demonstrated ability to lead and perform analysis
• Ability to connect and utilize a wide array of seemingly unstructured data attributes
• Bring Others with You - Building trusting relationships and a strong collaborator with the ability to influence others
• Drives Results - Attention to detail and high-quality execution and ability to manage multiple projects concurrently in an environment of tight deadlines
• Communicate Frequently, Candidly, and Clearly
• Make Decisions Quickly & Effectively
• This will be a hybrid role located at the Accertify Gurgaon campus location

Additional Details:

• The Accertify office is located at: Tower 1, Floor 2, International Tech Park, Sector 59, Gurugram, Haryana 122002
• This role offers hybrid work flexibility.

Why Join Accertify:  

At Accertify, we offer more than just a paycheck—we invest in our people through competitive rewards, meaningful benefits, professional development opportunities, flexible ways of working, and programs that support your overall well-being. Join a team that values growth, collaboration, and innovation while empowering you to make an impact and build a rewarding career.