Eligibility:

• Master or PhD in a quantitative discipline e.g. statistics, research, computer science, mathematics, physics, engineering etc.
• Experience in financial sector
• At least 3-5 years of relevant experience as a Data Scientist

Experience:

The candidate should have strong theoretical knowledge and practical experience in data science and application of data analytics to real-world problems. The candidate should have experience in the following areas and should be able to demonstrate that experience through examples:

• Modelling/forecasting time-series data
• Decision optimizations
• Machine learning (all disciplines)
• Natural language processing
• Statistical analysis and modelling
• Probabilistic algorithms
• Cluster analysis
• Feature selection
• Dimensional reduction
• Classification and prediction
• Text mining
• Python / R
• SQL
• Hive
• C / C++
• Java or Scala
• Hadoop
• Spark or HPC (High performance computing)

Other desirable experience:

• Experience with Hadoop and understanding of parallel application performance
• Ability to construct end-to-end data analytics workflows including data capture, cleaning, normalization, exploration, modelling design, development, validation as well as visualization.
• Agile or associated development methodologies, backtesting, release management, model governance.
• Database management and business intelligence including SQL and NoSQL databases
• Be a self-started with the ability to extract knowledge from data and explain the same to non-technical audience.
• Banking knowledge and experience is a plus.

Key responsibilities:

The Data Analytics team at Meezan Bank has been following a strategic agenda over the last year and is in the process of building up a team. The main strategic goals of the Data Analytics team can be summarised in the following themes:

• Use of big data technologies to increase and improve efficiency, revenues, productivity and financial ratios
• Bring cultural change in the organization through training and use of such technologies by the employees
• Looking at the future to understand the evolving technologies and needs of customers and employees, so as to create an organization that will support future success.

This role will be involved and concerned with the first bullet point above, and shall also contribute towards the remaining goals on an as needed basis. We are currently looking for an individual to lead the Data Science team providing technical and strategic guidance. The role will report into the Head of Data Analytics.

The Data Analytics team was built in late 2017 and reports into the CIO. ADC, Digital Banking and Branchless Banking also currently report to the CIO. The role will be based in our Head Office, in Karachi.

The team works with various lines of business to identify use cases. Big Data technologies are then used to deploy data analytics for the various teams. Use cases are also identified organically by the team, however once a use case is identified the team works with senior management, business, IT and external vendors for approval and deployment.

Skills Required:

• Experience in the above mentioned areas.
• Top communication skills, and the ability to present findings to business.
• Fluent in written and spoken English.

Department:

Data Analytics

Location:

Head Office - Karachi

Last date:

April 23, 2019

Eligibility:

• Bachelors or Masters in a quantitative discipline e.g. statistics, research, computer science, mathematics, physics, engineering etc.
• Experience in financial sector
• At least 2-3 years of relevant experience as a Data Scientist

Experience:

The candidate should have strong theoretical knowledge and practical experience in data science and application of data analytics to real-world problems. The candidate should have experience in the following areas and should be able to demonstrate that experience through examples:

• Modelling / forecasting time-series data
• Statistical analysis and modelling
• Probabilistic algorithms
• Cluster analysis
• Python / R
• SQL
• Hive
• C / C++

Other desirable experience:

• Experience with Hadoop and understanding of parallel application performance.
• Ability to construct end-to-end data analytics workflows including data capture, cleaning, normalization, exploration, modelling design, development, validation as well as visualization.
• Agile or associated development methodologies, backtesting, release management, model governance.
• Database management and business intelligence including SQL and NoSQL databases.
• Be a self-started with the ability to extract knowledge from data and explain the same to non-technical audience.
• Banking knowledge and experience is a plus.
• Decision optimizations.
• Machine learning (all disciplines)
• Natural language processing
• Feature selection
• Dimensional reduction
• Classification and prediction
• Text mining
• Java or Scala
• Hadoop
• Spark or HPC (High performance computing)

Key responsibilities:

The Data Analytics team at Meezan Bank has been following a strategic agenda over the last year and is in the process of building up a team. The main strategic goals of the Data Analytics team can be summarised in the following themes:

• Use of big data technologies to increase and improve efficiency, revenues, productivity and financial ratios.
• Bring cultural change in the organization through training and use of such technologies by the employees.
• Looking at the future to understand the evolving technologies and needs of customers and employees, so as to create an organization that will support future success.

This role will be involved and concerned with the first bullet point above, and shall also contribute towards the remaining goals on an as needed basis. We are currently looking for an individual to lead the Data Science team providing technical and strategic guidance. The role will report into the Head of Data Analytics.

The Data Analytics team was built in late 2017 and reports into the CIO. ADC, Digital Banking and Branchless Banking also currently report to the CIO. The role will be based in our Head Office, in Karachi.

The team works with various lines of business to identify use cases. Big Data technologies are then used to deploy data analytics for the various teams. Use cases are also identified organically by the team, however once a use case is identified the team works with senior management, business, IT and external vendors for approval and deployment.

Skills Required:

• Experience in the above mentioned areas.
• Top communication skills, and the ability to present findings to business.
• Fluent in written and spoken English.

Department:

Data Analytics

Location:

Head Office - Karachi

Last date:

April 23, 2019

Eligibility:

• CA, ACA, PhD, Bachelors or Masters in a quantitative discipline e.g. Accounting, statistics, research, computer science, mathematics, physics, engineering etc.
• Experience in financial sector
• At least 3-5 (2-3 for junior) years of relevant experience as a business analyst

Experience:

The candidate should have strong theoretical knowledge and practical experience in Banking and application of business analysis to real-world problems. The candidate should have experience in the following areas and should be able to demonstrate that experience through examples:

• Modelling/forecasting time-series data
• Statistics
• Corporate finance
• Accounting
• Banking regulations and products
• Risk and Compliance
• Strategy
• Business analysis
• Research and writing business requirements
• Word
• Excel
• PowerPoint
• Visio

Other desirable experience:

• Manage quality of deliverables and communication.
• Ensure efficient change management.
• Develop professional relationships with stakeholders.
• Develop / initiate expertise on regulatory topics.
• Analysing and understanding existing processes.
• Writing business requirements.
• Creation of test plans.
• Ensure smooth handover to business teams.
• Understanding of financial markets.
• Understanding of marketing.
• Understanding of social media.
• Project management knowledge.

Key responsibilities:

The Data Analytics team at Meezan Bank has been following a strategic agenda over the last year and is in the process of building up a team. The main strategic goals of the Data Analytics team can be summarised in the following themes:

• Use of big data technologies to increase and improve efficiency, revenues, productivity and financial ratios.
• Bring cultural change in the organization through training and use of such technologies by the employees.
• Looking at the future to understand the evolving technologies and needs of customers and employees, so as to create an organization that will support future success.

This role will be involved and concerned with the second and third bullet points above, and shall also contribute towards the remaining goals on an as needed basis. We are currently looking for a Business Analyst in the Data Analytics team providing commercial and strategic guidance. The role will report into the Head of Data Analytics.

The Data Analytics team was built in late 2017 and reports into the CIO. ADC, Digital Banking and Branchless Banking also currently report to the CIO. The role will be based in our Head Office, in Karachi.

The team works with various lines of business to identify use cases. Big Data technologies are then used to deploy data analytics for the various teams. Use cases are also identified organically by the team, however once a use case is identified the team works with senior management, business, IT and external vendors for approval and deployment.

Skills Required:

• Experience in the above mentioned areas.
• Top communication skills, and the ability to present findings to business.
• Fluent in written and spoken English.

Department:

Data Analytics

Location:

Head Office - Karachi

Last date:

April 23, 2019