Senior Data Scientist, Actimize (Fraud/Financial Crime)
- NICE
- 4 - 7 years
- Pune
- 3 months ago
- Email to a friend
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Job Description
So, whats the role all about?
We are looking for a financial crime -Senior Risk & Fraud Data Analyst to play a pivotal role in safeguarding financial institutions from fraudulent activities. This role focuses on leveraging advanced analytics and Machine learning know-how to build and optimize fraud detection classification models and strategies and support our clients and banking partners in fraud mitigation.
As a key member of our team, youll have the opportunity to work at the intersection of data-driven research, risk management, business strategy and client relations, contributing to the safety and scalability of our platform.
How will you make an impact?
- Analyze transaction data and customer behavior to identify patterns indicative of fraudulent activity.
- Develop and deploy data-driven fraud prevention rules, logic, and models to mitigate risk effectively.
- Continuously monitor and refine existing fraud detection models based on emerging trends and feedback.
- Design and implement automation solutions to enhance fraud monitoring processes and support scalability.
- Communicate with clients and partner banks to align on fraud prevention strategies and share actionable insights.
- Work with product and dev and other teams in Unit to lead and deliver strategic and complex projects in the Fraud prevention domain.
Have you got what it take:
- At least 5 years of experience in data analysis, preferably in the risk or fraud domain within the fintech industry.
- High proficiency in SQL Must. Experienced in writing complex queries and analyzing large datasets.
- High proficiency in Python for data analysis Must. Skilled in using Python libraries such as Pandas for data analysis and research, automation, and developing fraud detection logic.
- High proficiency in English and Strong written and verbal communication skills to effectively interact with clients, partners, and internal teams.
- Advantage: Understanding of the US financial systems Familiarity with banking, payments, or e-commerce systems and processes.
- Advantage: Experience with financial fraud prevention strategies.
- Advantage: Ability to work independently, take initiative, and drive projects from ideation to completion.
- Great team player with desire to mentor junior analysts and Data scientists.
Whats in it for you?
Join an ever-growing, market disrupting, global company where the teams comprised of the best of the best work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr!
Enjoy NiCE-FLEX!
At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.
Requisition ID: 6464
Reporting into: Manager
Role Type: Individual Contributor
Job Classification
Industry: Software ProductFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Data ScientistEmployement Type: Full timeContact Details:
Company: NICELocation(s): Pune
Keyskills: advanced analytics python data analysis fraud prevention verbal communication machine learning classification research sql pandas analytics automation data science flex fraud predictive modeling writing statistical modeling risk reporting communication skills statistics
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Located in : Pune, India (Click here to find location)Company Overview - https://www.nice.com/pune NICE Systems (NASDAQ: NICE), is the worldwide leader of intent-based solutions that capture and analyze interactions and transactions, realize intent, and extract and leverage insights to d...
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