ADIB Careers UAE 2023 – Impressive Opening For Data Scientist- Fraud Risk Management Jobs

ADIB Careers in U.A.E 2023 | Fresher Jobs in Dubai – Apply For A latest opportunity Available for Data Scientist- Fraud Risk Management jobs in U.A.E, Abu Dhabi. Its A Great Chance to get a Favorite jobs vacancy in United Arab Emirates 2023. Everyday a lots of Employment Opportunity Available At ADIB Careers Site.

Find out More Suitable Careers and U.A.E Government Jobs 2023 Here.

You Can Also find part time jobs in Dubai, Driver Jobs in Dubai, Security Jobs in Dubai. Everyday A lot Of Opportunities Available in United Arab Emirates. Various Government and private sector Jobs Available in U.A.E and thousands of candidates can find their dream jobs in U.A.E everyday.

An Exciting Employment Opportunity Comes From the official Notification of ADIB Careers in U.A.E. If You want To work At U.A.E and its Cities Like Jobs in Dubai, Jobs In Sharjah,  Jobs In Abu Dhabi (capital of the United Arab Emirates), Jobs In Al Ain, Jobs In Ajman, Jobs In Ras Al Khaimah, Jobs In Fujairah, Jobs In Umm Al Quwain and many more U.A.E cities then its a golden chance for the job seekers.

Apply For ADIB Careers in U.A.E 2023 For Latest Data Scientist- Fraud Risk Management Jobs in Abu Dhabi

According To the ADIB Careers U.A.E A Stunning job Opportunity Available in Abu Dhabi, U.A.E 2023. If You Are Eligible For This Data Scientist- Fraud Risk Management Jobs in U.A.E the its A great Chance For Your Career. If your Qualification and Experience Are Suitable For this Data Scientist- Fraud Risk Management position then you should quickly Apply for this Opportunity.

Are You Still Searching For A New or Latest Jobs in Abu Dhabi, United Arab Emirates? Don’t Worry We Can Help you in this process. So today’s latest jobs Opportunity is for you, after this you can make your careers in gulf jobs. If you want to join the team of ADIB Careers then you have a Required qualification.

Short Details Of ADIB careers in Abu Dhabi For Data Scientist- Fraud Risk Management Jobs.

Full Detailed Summary Of ADIB Careers

Role Purpose:

Data Scientists extract value from data using advanced analytics techniques.  This role is responsible for experimenting with data, identifying patterns, applying statistical analysis, build data science models to predict and also engage in development of Artificial Intelligence / Machine Learning based solutions.  Data scientist will determine requirements to train and evolve deep learning models and algorithms. 

Using all these techniques and technologies, data scientists will help make decisions and predict future outcomes of certain products and services.  The role will help data & analytics team in the planning, evaluating, and selecting the right data science capabilities for the Bank.  The role serves as an advisor to the data management team to develop and deliver enterprise-wide solutions for complex data analytic challenges in Fraud Risk Management.

 Key Accountabilities of the role

• Use advanced analytics methods to extract value from business data;
• Manage the fraud prevention and detection rules in all fraud tools including but not limited to Fraud Guard, EFMS, SAS VI, SAS VA, VRM & FRM.
• Analyze fraud trends on a periodic basis and provide recommendation to FRM management to implement new fraud prevention & detection controls.
• Create periodic dashboards and presentations for senior management;
• Perform large-scale experimentation and build data-driven models to answer business questions
• Conduct research on cutting-edge techniques and tools in machine learning/deep learning/artificial intelligence
• Determine requirements that will be used to train and evolve deep learning models and algorithms
• Articulate a vision and roadmap for the exploitation of data as a valued corporate asset
• Influence FRM teams through presentation of data-based recommendations
• Evangelize best practices to analytics and FRM teams
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing analytics delivery, re-designing infrastructure for greater scalability, etc.
• Build analytics tools that utilize the data to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders including the FRM and FMU teams to assist with analytics related technical issues and support their data infrastructure needs.
• Work with data and analytics experts to strive for greater functionality data systems.
• Ensure that all data science related work meets data security requirements.
• Ensure all process of the analytics section of FRM is documented and maintained as an SOP.
• Maintains relevant documentation to enable peers and other teams to benefit from data science use cases implemented.

Specialist Skills / Technical Knowledge Required for this role:

• Strong problem-solving skills with an emphasis on product development. Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
• Can work with data to identify patterns.
• Use judgement to form conclusions that may challenge conventional wisdom and focus on the crux of issues to identify high-leverage intervention points and strategies.
• Rapidly acquire new knowledge and learn new skills.
• Seek to understand business needs and get results that have a clear, positive, and direct impact on business performance.
• Apply different strategies to convince others to change their opinions or plans and ensure that proposals or arguments are supported by strong logic and a compelling business case, addressing all relevant factors.
• Consider the relative costs and benefits of potential actions to choose the most appropriate one
• Communication and storytelling
• Teamwork and collaboration
• Banking domain business knowledge
• Advanced analytics modelling and orchestration.
• Solid development skills in Java, Scala and SQL
• Expertise in Advanced Analytics, Data Mining, Credit Risk Modeling and Predictive Modeling.
• Expertise in Machine Learning techniques for Regression: Random Forest/Linear/Multiple Regression, Classification techniques: Random Forest/SVC/KNN/Logistic, etc., Clustering using Python and SAS.
• Knowledge of Natural Language Processing (NLP), Text Mining and Sentiment Analysis, created NLP models.
• Experienced in Statistical Analysis: Descriptive, Inferential Analytics, Predictive Analytics, etc.
• Sound knowledge of using data science tools and languages like Cloudera Data Science Workbench (CDSW), Jupyter Notebook, Python etc.
• Clear hands-on mastery in big datab systems – Hadoop ecosystem, Cloud technologies (AWS, Azure, Google), in-memory database systems (HANA, Hazel cast, etc) and other database systems – traditional RDBMS (Terradata, SQL Server, Oracle), and NoSQL databases (Cassandra, MongoDB, DynamoDB)
• Comfortable in dashboard development (Tableau, Powerbi, Qlik, etc) and in developing data analytics models (R, Python, Spark)
• Hypothesis Testing- Test of Independence, ANOVA, Chi-Square, Test for Goodness of fit, etc.
• Model Building, Model Validation, Model Selection, Model Evaluation & Optimization and Monitoring.

Previous experience:   

• At least 6+ years of progressively responsible relevant experience in data engineering, including creating partnerships, implementing data science solutions, and understanding the underlying technologies needed to enable data science across a midsized or large organization
• Extensive experience working with Big Data tools and building data solutions for advanced analytics
• Experience with statistical software, scripting languages, and packages (e.g. R, MATLAB, SAS, BO and Python)
• Considerable experience in solving business problems with advanced analytical solutions
• Proven experience in conducting statistical analysis and building models with advanced scripting language such as R, SPSS, or other analytic tools.
• Experience building and deploying predictive models, web scraping, and scalable data pipelines.
• Strong understanding of statistical methods and skills such as Bayesian Networks Inference, linear and non-linear regression, hierarchical, mixed models/multi-level modeling.
• Familiar with big data technologies (e.g. Cloudera), Data Engineering (e.g. Informatica), Data Streaming (Kafka), CDC, etc.

Apply Online ADIB Careers

How To Apply for ADIB careers U.A.E

• First of All you need to Read all the job related information twice.
• Check the Reality of Data Scientist- Fraud Risk Management jobs in ADIB careers.
• Then you have to click on the Apply Button Above mentioned.
• When you Click the Apply button you are directed to the ADIB career Site.
• After these steps you can fill the application form (and you have all done).
• Waiting for the Recruiter Answer.