As an Analyst-Data Science at Accertify, you will be responsible for delivering fraud prevention solutions, developing innovative models using machine learning techniques, collaborating with colleagues, and driving revenue growth through advanced analytics. This full-time, hybrid opportunity based in Gurgaon, Haryana, India, requires a postgraduate degree in relevant fields with 0-3 years of experience. Skills in Data Science, Machine Learning, and Statistical Techniques are essential for success.
Job description
Key Responsibilities:
- Deliver fraud prevention solutions for Accertify’ s 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 model's risk discrimination or improve economics over and above existing framework
- Partner and collaborate with multiple Accertify colleagues to implement models & develop Capabilities that will help in more optimal decision and drive revenue
Critical Factors to Success:
- Business Outcomes: Drive Revenue growth and profitability through advanced analytical techniques; Innovation in use of 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, colleagues.
- Lead with an external perspective - challenge 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 team's ML/AI skills, data expertise and Consulting skills
- Demonstrate Learning Agility - make decisions quickly with highest level of integrity
Minimum Qualifications:
- 0-3 years with 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
- Set the Agenda- 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
We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include:
- Competitive base salaries
- Bonus incentives
- Support for financial-well-being and retirement
- Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
- Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
- Generous paid parental leave policies (depending on your location)
- Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
- Free and confidential counseling support through our Healthy Minds program
- Career development and training opportunities