Data Scientist
3 weeks ago
**Job Purpose: Data Scientist Non-Financial Risk Management**
Pilot new risk management capabilities using predictive modeling, statistics, and other techniques in developing and implementation of advanced operational risk capital models and allocation methodologies to enable strategic business decisions linked to appropriate capital considerations.
Data-driven approaches to explore and extract insights from the structure and unstructured data resulting in efficient and effective risk management solutions to support business growth and enhance customer experience.
**Key Accountabilities**:
- Develop and establish an effective Operational Risk Capital Management process via advanced operational risk capital measurement approaches for the Group’s operational risk management.
- Establish stress testing and scenario analysis framework.
- Application of statistical and machine learning techniques to develop innovative risk management tools that solve business problems.
- Translate data into intelligence to enable businesses to make informed risk decisions and strategies.
- Contribute to data management programs to ensure the reliability of data across the Bank.
**Requirements**:
- Degree/MS/PhD in Data Science, Actuarial Studies, Artificial Intelligence, Applied Math, Computer Science, Engineering, or any other related computational/quantitative discipline from a recognized University.
- Between 3-5 years in data science-related roles and a total of 5-10 years of total working experience.
- Quantitative analysis background with 3 to 5+ years of experience using Statistics, Econometrics, and Applied Mathematics to solve problems and effectively answer pressing business questions.
- Skilled in various Excel mathematical functions. Experience in data manipulations software (R, Python, SAS) is an added advantage.
- Prior working experience in a similar function or statistical modeling-related functions would be an advantage.
- Competent with programming languages (e.g. Python, R, C/C++) for data manipulation, data cleaning, data engineering, and model development/machine learning.
- Strong analytical and implementation skills, demonstrated ability to effectively manage multiple tasks and drive change across a complex organization and multiple stakeholders.
- Excellent communication and presentation skills, with the ability to clearly and effectively communicate complex analytical and technical content to a less-technical business-savvy audience.
- A team player with a positive attitude, professionalism, and a strong work ethic with a high level of integrity and ethics.
- The ability to work independently and with minimum supervision.
Established in 2006, Nityo Infotech Corporation is the fastest growing IT Services Company. Our services span from Application Management Outsourcing, Packaged Application Services, Verification and Testing, Remote Infrastructure Management, Product Development and Support, to higher value-added offerings including Managed Platform and Product Engineering Services. We have presence in 37 countries. Our Headquarter is located at Plainsboro, New Jersey, United States of America. We have a strong presence in USA, Canada, UK, Germany, France, Spain, Italy, Poland, Ukraine, Turkey, India, Australia, New Zealand, Japan, Korea, Hong Kong, Taiwan, China, Srilanka, Macau, Singapore, Malaysia, Thailand, Philippines, Indonesia and Vietnam. We have a highly skilled global workforce of 17,200+. Through Nityo's services division, we have empowered numerous brands in optimising cost through Managed Services as well as outsourcing model. Our spectrum of services are broad, deep and structured around Nityo’s unique “RIG” framework; Run, Innovate and Grow. Nityo's portfolio as well as partner companies offer a unique mix of solution's ranging from Digital Lending platforms, Anti-money laundering solutions, AI/ML Based Chat Bots, Secret Management Platform, Enterprise Content Management Solutions, Tech Skill Assessment platform, Location Intelligence Solution, Call Center Automation Platform, Performance Management Platform, Cloud Migration and more.
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