Business Development & Sales Manager jobs at Ey in Mexico, Mexico City

Qualifications:

• Bachelor's degree in Accounting, Finance, Business Administration, Industrial Engineering, Economics, or related fields.
• Advanced English proficiency.
• 5 to 7 years of experience in Financial Due Diligence within M&A transaction contexts, preferably with prior experience in BIG 4 or investment banking, focusing specifically on financial due diligence.
• Proven experience in financial due diligence projects (sell-side and buy-side), quality of earnings (QoE) reviews, EBITDA analysis, working capital, and cash flow.
• Experience working with corporate clients and private equity funds in buy/sell processes.
• Mastery of financial accounting, consolidated financial statements, and reporting under IFRS, US GAAP, or NIFs.
• Experience in deep financial analysis, financial modeling applied to transactions, and identifying red flags.
• Knowledge of M&A processes, restructuring, and deal strategy.
• Experience leading multicultural teams and managing multiple projects simultaneously.

Responsibilities:

• Conduct external information analysis and data processing.
• Carry out multisectoral financial analyses (concessions, banks, logistics companies, distributors, among others).
• Perform financial and strategic analysis across different sectors, including KPI calculations.
• Analyze EBITDA, working capital, net debt, and cash flow, with an emphasis on buy and sell transactions.
• Identify and propose adjustments to transaction pricing.
• Lead and guide junior analysts in project execution, ensuring the quality and accuracy of the analyses performed.

What EY Parthenon offers:

• Opportunities for professional development and continuous training in a dynamic and collaborative environment.
• Access to challenging projects and the possibility of working with clients from various industries.
• An inclusive and diverse work environment that fosters innovation and personal growth.
• Competitive benefits and an attractive compensation package.

Your key responsibilities

• Provide IT support in terms of daily system & batch monitoring
• Ensure all required systems services are up and running
• Activate all necessary batch jobs and ensuring successful execution of these jobs
• Perform basic systems diagnostics, trouble-shooting and prompt escalation when required.
• To work in accordance to shift schedule provided (for 24X7)
• Escalate problems to Leads diligently
• Perform regular / daily reporting on the batch status

To qualify for the role, ideally, you should

• Have a Diploma in IT, Data Analytics or relevant disciplines
• Be able to commit to a 3-month contract period, contract renewal is subjected to project requirements
• Be comfortable with a shift arrangement, including night shift required for production support

• Have dashboarding experience with Tableau / Power BI as an added advantage
• Have experience in engaging with both technical and non-technical stakeholders
• Possess strong analytical and problem-solving skills
• Possess advanced written and verbal communication skills
• Be dedicated, innovative, resourceful, analytical and able to work under pressure

What we offer

Plus, we offer:

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

Role TypeDigital Content Consultant

The Digital Content Editor is responsible for editing, reviewing, and managing content for our flagship website, ey.com/global, so that it delivers against our editorial strategy and meets our quality criteria. You will actively partner with marketers around the world, advising them on how best to bring their content to life, and then helping them to polish their content in a way that enhances our brand, serves users, and drives site engagement. You will be a critical part of the team that implements governance and quality controls on content that marketers plan and publish on their own.

Your key responsibilities

• Quality review content submitted for publication on ey.com/global, and provide constructive, specific feedback on corrections required for publication
• Work collaboratively with digital design and production teams
• Successfully juggle competing priorities and multiple projects
• Manage site updates as needed when tools, marketing strategies and best practices change

Skills and attributes for success

• Write/edit web copy that’s engaging, brand-compliant and search engine-optimized
• Work independently to complete multiple tasks within a fast-paced environment

To qualify for the role, you must have

• Excellent US English written and verbal communication skills, with an understanding of how messages may be received globally
• Strong understanding of digital publishing and best practices
• Basic knowledge of SEO relating to content development
• Experience working within a content management system to create outstanding digital experiences

Ideally, you’ll also have

• an eye for design and basic knowledge in design software such as Photoshop and MS Office software
• a basic understanding of HTML

Technologies and Tools

• Basic understanding of AEM tool

What we look for

• Bachelor’s or master’s degree
• Minimum 2 years of work experience in digital content editing

What we offer

EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland, and the UK – and with teams from all EY service lines, geographies, and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills, and insights that will stay with you throughout your career.

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success, as defined by you : We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership : We’ll give you the insights, coaching and confidence to be the leader the world needs
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs

Job Description: EY GDS – Data and Analytics - D and A – Senior – Senior Data Scientist

Role Overview: We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 3 - 7 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role.

Responsibilities:
Your technical responsibilities:

• Contribute to the design and implementation of state-of-the-art AI solutions.
• Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI.
• Collaborate with stakeholders to identify business opportunities and define AI project goals.
• Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges.
• Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases.
• Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities.
• Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment.
• Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs.
• Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs.
• Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly.
• Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency.
• Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases.
• Ensure compliance with data privacy, security, and ethical considerations in AI applications.
• Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications.

Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A Ph.D. is a plus.
• Minimum 3-7 years of experience in Data Science and Machine Learning.
• In-depth knowledge of machine learning, deep learning, and generative AI techniques.
• Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch.
• Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models.
• Familiarity with computer vision techniques for image recognition, object detection, or image generation.
• Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment.
• Expertise in data engineering, including data curation, cleaning, and preprocessing.
• Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems.
• Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models.
• Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.
• Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels.
• Understanding of data privacy, security, and ethical considerations in AI applications.
• Track record of driving innovation and staying updated with the latest AI research and advancements.

Good to Have Skills:

• Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems.
• Utilize optimization tools and techniques, including MIP (Mixed Integer Programming).
• Drive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI models.
• Implement CI/CD pipelines for streamlined model deployment and scaling processes.
• Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines.
• Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation.
• Implement monitoring and logging tools to ensure AI model performance and reliability.
• Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment.
• Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models.

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.