Job Opportunities at Deloitte

Job Description

Technical Skills:

• Proficient in SQL, python and/or pyspark
• Solid understanding of how data is structured and ability to manipulate and analyse data
• Knowledge of Power BI/Tableau for data visualization and reporting
• Knowledge in SAP/Oracle would be beneficial
• Business and Analytical Skills:
• Ability to understand and translate client requirements into actionable insights
• Ability to think creatively and provide innovative solutions to clients
• Strong team player with excellent communication and collaboration skills
• Outstanding time management skills
• Adaptable and open to change, with the ability to thrive in a dynamic and fast paced environment
• Strong presentation and communication skills to effectively convey solutions to Clients. 

Qualifications

• Degree and/or Diploma related to the role. 
• Qualifying certificates for the role. 

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Main Purpose of Job

As an AWS Data Engineer in our Data Analytics practice, we are looking for people who are passionate about data and technology solutions, are driven to learn about them and keep up with market evolution. You will play an active role throughout the entire engagement cycle, specializing in modern data solutions including data ingestion/data pipeline frameworks, data warehouse & data lake architectures, cognitive computing and cloud services. You will bring your enthusiasm about all things data, have strong problem-solving and analytical skills, are tech savvy and have a solid understanding of software development.

Specifically, in this role, you will:

• As part of a team implement end-to-end modern data platforms in support of analytics and AI use cases
• Collaborate with enterprise architects, data architects, other ETL developers & engineers, data scientists and information designers to lead identification and definition of required data structures, formats, pipelines, metadata, and workload orchestration capabilities
• Address aspects such as data privacy & security, data ingestion & processing, data storage & compute, analytical & operational consumption, data modelling, data virtualization, self-service data preparation & analytics, AI enablement, and API integrations
• Estimate effort and mentor junior colleagues
• Participate in technical meetings with client staff, and advise client with technical option analyses based on leading practices
• Working as a Data Engineer on AWS but also on other technologies.

Specialized Competencies: 

• Supports Data Analytics team in the implementation of client delivery on specific engagements and applies deep knowledge of technology to drive continuous improvement. 

Behavioural Competencies:

• Good communication skills, both written and verbal
• Interpersonal and relationship building skills
• Desire to develop self
• Client delivery focus
• Adaptable
• Focus on quality
• Problem solving ability
• Analytical

Qualifications

Qualifications & Experience required

• Bachelor’s Degree (or higher) in quantitative areas such as Computer Science, Information Management, Big Data & Analytics, or related field is desired.
• One or more of the following AWS certifications is required:
• AWS Solutions Architect – Associate/Professional
• AWS Data Analytics
• AWS Machine Learning
• AWS Developer
• 3+ years’ experience in implementation of creative data solutions leveraging the latest in Big Data frameworks, supporting on-premise or AWS cloud to enable use cases in analytics and AI
• 3+ years’ experience with extraction, transformation and loading of data from a wide variety of traditional and non-traditional sources such as structured, unstructured, and semi-structured using SQL, NoSQL and data pipelines for real-time, streaming, batch and on-demand workloads
• 3+ years’ experience with data warehousing or data lakes.
• Ability to simplify complex technical concepts into easy-to-understand non-technical language in order to facilitate, communicate and interact with executives and business stakeholders, working with Agile development methods in data-oriented projects

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Job Description

• Must have in-depth experience and knowledge around the following SAP Modules Plant Maintenance and Materials Management. At least 2 full implementations
• S4 HANA would be an added advantage.
• A working understanding of integration within logistics as well as with FI/CO.
• Ability to support multiple clients and also be involved in other projects
• Should be able to conduct training – for users and inhouse
• Support the current MM footprint
• Conduct SAP MM process configuration
• Update and maintain all SAP MM functional documentation
• Analyse and scope end user authorization roles 

Qualifications

• Relevant Bachelors qualification with be ideal
• SAP Certified Application Associate - Procurement with SAP ERP 6.0 EhP7
• Additional Information

Key Competencies required:

Technical Competencies

• Sound technical knowledge in specific area and/or industry
• Basic consulting skills
• Experience in drafting of professional presentations and reports
• Basic financial knowledge and understanding
• Proficient in MS Office suite
• Business acumen

Behavioural Competencies

• Good communication skills, both written and verbal
• Interpersonal and relationship building skills
• Desire to develop self
• Client delivery focus
• Adaptable
• Focus on quality
• Problem solving ability 

Leadership / Behavioural Capabilities

• Living our Purpose - Identifies and embraces our purpose and values and puts these into practice in their professional life
• Influence - Builds relationships and communicates effectively in order to positively influence peers and other stakeholders
• Performance drive - Seeks opportunities to challenge self; teams with others across businesses and borders to deliver and takes accountability for own and team results
• Strategic direction - Understands objectives for clients and Deloitte, aligns own work to objectives and sets personal priorities
• Talent development - Develops self by actively seeking opportunities for growth, shares knowledge and experiences with others, and acts as a strong brand ambassador

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Job Description

To support FS Advisory Credit Risk Team in delivery of services to / at client premises on delegated engagements and projects. 

Qualifications

Minimum Qualifications and Experience required:     

• Undergraduate degree specializing in one or more of the following disciplines: Statistics, Mathematics, Financial Engineering, Actuarial Science, Engineering, Economics or Econometrics
• At least 3 years of relevant work experience in banking, financial services consulting, or similar environment
• Fundamental credit risk modelling capabilities including predictive modelling techniques
• Basic understanding of the credit lifecycle, model risk management, Basel III regulations and the IFRS 9 standard
• Computer literacy:  MS Word, Excel, and PowerPoint
• Coding skills: SAS, SAS (Enterprise Guide), R, and/or Python
• Personal aptitudes: Reliable, diligent, accountable, teachable, collaborative, attentive to detail

Roles & Responsibilities

• Development and calibration of credit risk models
• Model validation, monitoring, and testing
• Benchmarking credit metrics amongst peers in a market
• Derivation of portfolio credit analytics
• Review of client deliverables to ensure quality, accuracy, and completeness
• Communication of project challenges and outcomes with clients and team members
• Drafting of project reports
• Sharing of knowledge and skills with colleagues

Additional Information

Leadership Capabilities:

• Living our Purpose - Acts as a role model, embracing and living our purpose and values, and recognizing others for the impact they make
• Talent development - Develops high-performing people and teams through challenging and meaningful opportunities
• Performance drive - Delivers exceptional client service; maximizes results and drives high performance from people while fostering collaboration across businesses and borders
• Influence - Influences clients, teams, and individuals positively, leading by example and establishing confident relationships with increasingly senior people
• Strategic direction - Understands key objectives for clients and Deloitte, aligns people to objectives and sets priorities and direction

Technical Competencies:

• Understanding of the audit and advisory businesses, and their interaction with wider firm locally and globally, strategy and challenges
• Notable experience on providing Strategic Insights to Partners
• Project management experience
• Excellent industry and business knowledge
• Demonstrated leadership skills
• Ability to interpret, communicate and implement strategy
• Demonstrated execution of complex projects within time frames and cost
• Experienced in development and delivery of professional presentations
• Excellent report writing skills
• Solid financial knowledge