Bcm Process Mining And Analytics-42-2

Bcm Process Mining And Analytics-42-2


Bcm Process Mining And Analytics-42-2

Details of the offer

Company profile:
EY's Advisory Services is a unique, industry-focused business unit that provides a broad range of integrated services that leverage deep industry experience with strong functional and technical capabilities and product knowledge. EY’s financial services practice provides integrated advisory services to financial institutions and other capital markets participants, including commercial banks, retail banks, investment banks, broker-dealers & asset management firms, and insurance firms from leading Fortune 500 Companies. Within EY’s Advisory Practice, Data and Analytics team solves big, complex issues and capitalize on opportunities to deliver better working outcomes that help expand and safeguard the businesses, now and in the future. This way we help create a compelling business case for embedding the right analytical practice at the heart of client’s decision-making.

Key Responsibilities

The role requires 3 to 6 years of Financial Services domain hand-on experience in retail and wholesale banking with strong Business and Functional Processes, Data Management, Python, SQL & Advanced SQL development skills along with strong ability to:

§ Work as a developer to contribute in various technical streams of data and analytics implementation projects
§ Understand various business processes in consumer banking including credit cards, retail banking & wealth management with ability to map to appropriate datasets and entities for data management and analysis

§ Understand various business processes in institutional banking including commercial banking, treasury management, capital markets & advisory with ability to map to appropriate datasets and entities for data management and analysis

§ Understand, analyse, and interpret large datasets

§ Develop advanced programs to extract the data needed, prepare data for further analysis
§ Discover, design, and develop analytical methods to support novel approaches of data and information processing

§ Perform analysis to assess the quality of the data, determine the meaning of the data, and provide data facts and insights

§ Integrate, query and prepare datasets for reporting and analytics.

§ Collaborate with technology team and support the development of analytical models with the effective use of data and analytic techniques and validate the model results and articulate the insights to the business team
§ Interface and communicate with the onsite teams directly to understand the requirement and determine the optimum solutions

§ Create technical solutions as per business needs by translating their requirements and finding innovative solution options

§ Provide product and design level functional and technical expertise along with best practices

§ Get involved in business development activities like creating proof of concepts (POCs), point of views (POVs), assist in proposal writing and service offering development, and capable of developing creative power point content for presentations
§ Participate in organization-level initiatives and operational activities

§ Ensure continual knowledge management and contribute to internal learning and development teams

§ BE/BTech/MCA/MBA with 3 - 6 years industry experience in retail or wholesale banking with data analysis, management and replated service offerings

Technical skills requirement:
Must have:
§ Exposure to business process knowledge either in retail or in wholesale banking

§ In-depth experience in data management, data integration, ETL, data modelling, data mapping, data profiling, data cataloguing, data lineage, data profiling, data quality and controls, data analysis, reporting, and testing areas

§ Strong Python programming and data analysis skills

§ Strong advance SQL/PL SQL programming experience

Good to have:
§ Business process modelling knowledge in retail or wholesale banking space

§ Hands on experience on IBM Blueworks and Collibra

§ Experience using cloud technologies such as AWS or Azure
§ Experience in writing R and SAS programs

§ Experience on Banking and Capital Markets domains

Other Key capabilities:
§ Client facing skills and proven ability in effective planning, executing and problem-solving

§ Excellent communication, inter-personal, and teamworking skills

§ Multi-tasking attitude, flexible with ability to change priorities quickly

§ Methodical approach, logical thinking, and ability to plan work and meet deadlines

§ Accuracy and attention to details

§ Written and verbal communication skills

§ Willingness to travel to meet client needs

Ability to quickly understand and learn new technology/feature and should inspire change to make an impact within the team and in a client organization

Source: Careesma


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