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RC-Non FS Internal Audit-Analytics-Senior
Ernst & Young
posted 4hr ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
- Graduate/Postgraduate in Engineering/ Statistics/ Mathematics or any other quantitative field
- A candidate with 4+ years of experience in machine learning and big data, data visualization and statistical tools at the enterprise level
- 6+ months of extensive project experience on developing products and use cases leveraging Large Language Models (LLM)
- Extensive exposure to frameworks on Python (Langchain, HuggingFace, others)
- Strong programming skills in Python and/or R and frameworks such as Tensorflow, Keras, MXNet and Torch etc.
- Strong solution designing and agile development thinking
- Strong experience in supervised and unsupervised clustering, regression and classification, including Bayesian methods, parameter estimation, support vector machines, neural networks, decision trees, reinforcement learning and deep learning models
- Strong experience in machine learning techniques such as Ensemble Model, Sequence Models, Text Analysis, Time Series Analysis, Survival Analysis, Computer Vision and Signal Processing etc.
- Preferred experience in database technology, build distributed, high-transaction database architecture (SQL and NoSQL), MongoDB, Linux etc.
- Solution experience on end-to-end life cycle from identifying business case till deploying ML/ AI and Cognitive Intelligence solutions.
- Understanding on ERM or standard business process knowledge around procure to pay, order to cash, inventory, journal entries etc. will be a plus
- Strong communication skills ability to both formulate/understand the business problem at hand as well as ability to discuss with non-data-science background stakeholders
- Comfortable dealing with ambiguity and competing objectives
- Ability to provide oversight support to the design, development and quality teams and define areas of improvement to optimize data flows
- Ability to quickly, regularly, and independently learn new technologies under the pressure of consistent high-profile project deliverables and industry focused solutions
- Ability to work well in in-person and remote team situations, self-motivated and strong team player. Highly developed personal and professional ethics
Client Management
- Understand the client s business & related industry issues / trends.
- Develop strong working relationships with the client and onshore client teams
- Maintain excellent rapport and proactive communication with the client
Market Leadership
- Participate / support business development initiatives.
- Support multiple innovation initiatives to enhance existing solutions leveraging emerging technologies like AI/ML, Advanced Analytics
- Support the practice in developing thought leadership content and other innovation initiatives from time to time.
Quality delivery
- Independently execute assignments, where required
- Manage multiple assignments and related project teams.
- Meet quality guidelines within the established turnaround time (or allotted budget) for assigned requests.
- Constantly monitor project progress, manage risk and verify key stakeholders are kept informed about progress and expected outcomes.
- Demonstrate application and solution-based approach to problem solving while executing client engagements and documenting working papers.
- Anticipate and identify engagement related risks and escalate issues as appropriate on a timely basis.
- Identify process gaps and accordingly provide recommendation in areas requiring improvement based on the clients business process and industry practice.
- Mentor and coach junior team members, enabling them to meet their performance goals and successfully grow their careers.
Operational
- Ensure compliance with risk management strategies, plans and activities of the firm.
- Manage the engagement budgets and support superiors in developing marketing collaterals, business proposals and new solution / methodology development.
- Supporting the engagement manager in planning and scheduling optimum staff levels for engagements.
Skills and attributes for success
- Exceptional command on spoken and written English
- Globally mobile and flexible to travel to onsite locations
- Highly analytical, organized and meticulous consulting skills
- Proficient in MS-Office Suite, data analysis & validation
- Team player with strong interpersonal skills
- Ability to prioritize deliverables effectively in order to achieve optimum results.
Ideally, you ll also have
- Strong project management skills
- Problem solving skills
- Ability to think differently and innovate
- A Team of people with commercial acumen, technical experience and enthusiasm to learn new things in this fast-moving environment
- Opportunities to work with EY Risk -Internal Audit Analytics team with leading businesses across a range of industries
Employment Type: Full Time, Permanent
Read full job descriptionPrepare for Manager Internal Audit roles with real interview advice
What people at Ernst & Young are saying
Manager Internal Audit salary at Ernst & Young
reported by
7
employees
with 7-14
years exp.
₹20
L/yr - ₹25.4
L/yr
72%
more
than the average Manager Internal Audit Salary in India
View more details
What Ernst & Young employees are saying about work life
based on 10.7k employees
Flexible timing
Monday to Friday
No travel
Day Shift
Ernst & Young Benefits
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