דרושים מהנדס אבטחה ב-Ey ב-India, Kochi

Position Overview

As a Senior Risk and Audit Compliance Engineer within Infrastructure and Operations, Platform Infrastructure, you will serve as a subject matter expert, collaborating with multinational clients on designing, implementing, and enhancing end-to-end risk, compliance, and audit frameworks. Leveraging your deep experience and consulting acumen, you’ll lead project teams, mentor staff, and ensure our clients meet evolving regulatory, cyber, and operational risk expectations.

Client Engagement & Advisory

• Lead client-facing risk and compliance consulting projects across industries (finance, technology, healthcare, etc.).
• Advise client executives and Boards on risk identification, internal controls, and compliance program maturity.
• Translate regulatory requirements (SOX, GDPR, ISO 27001, NIST, SOC, etc.) into actionable strategies and operational controls.

Compliance Program Leadership

• Assess, design, and implement enterprise-wide risk management and compliance frameworks for clients.
• Develop risk and control matrices, Risk Control Self-Assessment (RCSA) programs, and ongoing compliance monitoring strategies.
• Perform internal/external audit readiness assessments and help clients prepare for regulatory and certification audits (SOX, SOC 1/2/3, ISO, PCI DSS, etc.).

Audit & Risk Management Execution

• Plan and execute audit engagements, including risk scoping, fieldwork, walkthroughs, and root-cause analysis.
• Evaluate effectiveness and efficiency of existing controls (ITGC, application controls, segregation of duties, etc.).
• Review, test, and validate control design and operating effectiveness. Draft high-quality audit reports and remediation recommendations.
• Drive closure of audit findings through remediation tracking and stakeholder management.

Data Analytics & Automation

• Design and implement automated solutions for control testing, continuous monitoring, and regulatory reporting.
• Employ advanced analytics to identify emerging risks and strengthen compliance posture.
• Stay abreast of and pilot new regulatory technology (RegTech) and audit automation tools for improved consulting delivery.

Project & Team Leadership

• Manage project teams in a matrix and multi-client environment. Mentor and develop supplier/contract staff.
• Oversee project timelines, deliverables, and client satisfaction.
• Support business development by identifying new client needs and contributing to proposals.

Stakeholder & Relationship Management

• Liaise with client and internal leadership, regulatory bodies, and external auditors.
• Deliver compliance/risk training and thought leadership to clients and practice teams.

Required Qualifications & Skills

• Bachelor’s or Master’s degree in Information Security, Engineering, Finance, Business, or related fields.
• 12+ years of progressive experience in risk management, audit, or compliance—minimum 3-6 years in a Big Four or similarly complex consulting or regulated environment.
• Expertise in regulatory frameworks: ISO 27001, NIST, SOX, PCI DSS, GDPR, COBIT, etc.
• Proven success in leading end-to-end client audits, regulatory projects, and compliance assessments.
• Excellent analytical, problem-solving, and communication skills.
• Experience with GRC, audit, Regulatory Technology (RegTEeh), and data analytics platforms (e.g., Archer, ServiceNow GRC, SAP GRC, Tableau, ACL).
• One or more relevant certifications: CISA, CISM, CRISC, SoX, ISO 27001 Lead Auditor/Implementer (strongly preferred).
• Track record managing and developing diverse/high-performing teams.
• Prior experience in working with the Suppliers/Contractors and driving the Risk and Audit along with yearly Internal and External Audits.

Preferred

• Experience with On-Prem, Cloud, Data Privacy, and AI/ML risk and compliance.
• Prior client-facing or business development experience in management consulting.
• Reporting Line
• Reports to: On Prem Hosting Compliance Lead

Your Key Responsibilities

• Install and configure specific applications.
• Monitor the application platform, including integration and alerting solutions, and recommend platform improvements.
• Troubleshoot and resolve application platform issues.
• Configure data source connections and manage asset libraries.
• Identify and raise system capacity related issues (storage, licenses, performance threshold).
• Define best practices for application deployment.
• Integrate application with other ES Data platforms and Business Unit installations of application.
• Participate in overall data platform architecture and strategy.
• Research and recommend alternative actions for problem resolution based on best practices and application functionality with minimal direction.

To qualify for the role you must have

• Bachelor’s degree in Computer Science or other related field

• A minimum of 5 years’ experience customer success or in a customer-facing engineering capacity is required.
• Large scale implementation experience with complex solutions environment.
• Experience in customer-facing positions, preferably industry experience in technology based solutions.
• Experience being able to navigate, escalate and lead efforts on complex customer/partner requests or projects.
• Experience with Linux command line.
• An aptitude for both analyzing technical concepts and translating them into business terms, as well as for mapping business requirements into technical features.
• Knowledge of the software development process and of software design methodologies helpful
• 5+ years experience in a cloud ops / kubernetes application deployment and management role, working with an enterprise software or data product.
• Experience with Attribute-based Access Control (ABAC), Virtual Director Services (VDS), PING Federate or Azure Active Directory (AAD) helpful.
• Cloud platform architecture, administration and programming experience desired.
• Experience with Helm, Argo CD, Docker, and cloud networking.
• Excellent communication skills: interpersonal, written, and verbal.
• Experience with Identity Access Management (IAM).

Ideally, you’ll also have

• Experience with DoD

What we look for

We’re interested in intellectually curious people with a passion for finding new and innovative ways to make things better. You’ll also need to be a self-starter and quick learner with a strong background in computer science from both theoretical and practical points of view. If you’re ready to be the future of the group and make your mark in a growing business, this role is for you.

Required Knowledge, Skills and Abilities (KSAs)

• Bachelor Degree in Computer Science, Engineering, Mathematics or STEM related area of study, Master's Degree is a plus
• Demonstrated capability to analyse business and technical requirements; and develop solutions to address the requirements.
• Subject matter expertise in Integrated Business Planning (IBP), Demand Planning, Supply planning, Sales & Operation Planning processes preferably with at least 1 end to end implementation experience with a client facing role.
• Strong configuration and design skills required
• Demonstrated experience in SAP package solution implementation tools and methodologies.
• Well-honed SCM skills and expert understanding of the Software Configuration Management. Ability to perform complex SCM tasks and ability to mentor or train others in the configuration management effort.
• A team player with excellent written and verbal communication skills and strong organizational skills. Must have a service-oriented attitude with excellent problem solving and analytical skills. Ability to work independently, self-motivated, and highly focused.
• Effective communication skills and experience with customer facing relationships for both project and sustain related functions

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.

Technical Lead:

The Artificial Intelligence (AI) & Machine Learning (ML) Developer is responsible for designing and implementing solutions based on AI and Machine Learning.

Position Summary

• 4+yrs of experience in a similar profile with strong service delivery background
• Lead and guide a team of Junior Developers.
• Design technical specifications for AI, Machine Learning, Deep Learning, NLP, NLU, NLG projects and implement the same.
• Contribute to products or tools built on Artificial Intelligence technologies and paradigms, that can enable high-value offerings.
• Building AI solutions would involve the use and creation of AI and ML techniques including but not limited to deep learning, computer vision, natural language processing, search, information retrieval, information extraction, probabilistic graphical models and machine learning.
• Plan and implement version control of source control
• Define and implement best practises for software development
• Excellent computer skills - proficient in excel, PowerPoint, word and outlook
• Excellent interpersonal skills and a collaborative management style
• Ability to analyse and suggest solutions
• Strong command on verbal and written English language

Essential

• Create Technical Design for AI, Machine Learning, Deep Learning, NLP, NLU, NLG projects and implementing the same in production.
• Solid understanding and experience of deep learning architectures and algorithms
• Experience solving problems in industry using deep learning methods such as recurrent neural networks (RNN, LSTM), convolutional neural nets, auto-encoders etc.
• Should have experience of 2-3 production implementation of machine learning projects.
• Knowledge of open source libraries such as Keras, Tensor Flow, Pytorch
• Experience in LLMs, Gen AI Solution development
• Exposure to Agentic AI concept and hands on experience in POCs or Projects
• Work with business analysts/consultants and other necessary teams to create a strong solution
• Should have in depth understanding and experience of Data science and Machine Learning projects using Python, R etc. Skills in Java/C are a plus
• Should developing solutions using python in AI/ML projects
• Should be able to train and build a team of technical developers
• Desired to have experience as leads in designing and developing applications/tools using Microsoft technologies - ASP.Net, C#, HTML5, MVC
• Desired to have knowledge on any of the cloud solutions such as Azure or AWS
• Desired to have knowledge on any of container technology such as Docker
• Should be able to work with a multi culture global teams and team virtually
• Should be able to build strong relationship with project stakeholders
• Should be able to build strong relationship with project stakeholders

Role name and description
Tax Senior – The primary role of a Tax Senior is to ensure accuracy of tax deliverables and supervise, develop and mentor staff. Also, they are required to help managers strengthen relationships with the client
Your key responsibilities
•Demonstrate a high level of proficiency in US tax technical knowledge surrounding expatriate and inpatriate taxation laws. Drive the tax return production process, review all types of tax returns and other tax deliverables
•Develop and supervise staff on all technical, client service and engagement management skills. Assist the Manager in engagement management
•Communicate directly with the engagement teams in other offices Proactively recognize issues and recommend solutions
•Coach and mentor team members
•Facilitate problem solving and co-ordination
•Be a role model and spearhead by example

Skills and attributes for success
Effective communication skills by being articulate, thoughtful and adapting communications to target audiences; interacting effectively in person, by phone and in writing- including chattingTo qualify for the role, you must have
Adequate work experience in expat tax law concepts include but not limited to concepts such as Foreign Earned Income exclusion, Foreign tax credit, passive foreign investments etc.
Adequate work experience in inpat tax laws including but not limited to concepts such as Non- resident tax returns in combination with tax treaty applications, etc.
Graduates or Postgraduates preferred

Ideally, you’ll also have
Basic MS office knowledge

What we offerContinuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

Key Responsibilities:

• Lead the design, development, and deployment of AI models and algorithms tailored for banking applications.
• Collaborate with stakeholders to define project goals, requirements, and deliverables.
• Analyze complex datasets to derive actionable insights and drive strategic decision-making.
• Mentor junior team members and provide technical guidance on AI best practices.
• Optimize and enhance existing AI models for improved performance and scalability.
• Stay abreast of emerging trends and technologies in AI and machine learning.
• Conduct rigorous testing and validation of AI models to ensure robustness and reliability.
• Document methodologies, processes, and results for knowledge sharing and compliance.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
• 8-12 years of experience in AI/ML development, with a focus on the banking or financial services industry.
• Strong proficiency in programming languages such as Python, R, SAS
• Extensive experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Deep understanding of data structures, algorithms, and statistical analysis.
• Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their AI services.
• Excellent problem-solving skills and the ability to work under pressure.
• Strong communication skills and the ability to collaborate effectively with cross-functional teams.

Preferred Skills:

• Experience with natural language processing (NLP), computer vision, or reinforcement learning.
• Knowledge of regulatory compliance and risk management in the Banking and Insurance sector.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) and big data technologies (e.g., Hadoop, Spark).

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.

Your key responsibilities

• Have proven experience in driving Analytics GTM/Pre-Sales by collaborating with senior stakeholder/s in the client and partner organization in BCM, WAM, Insurance. Activities will include pipeline building, RFP responses, creating new solutions and offerings, conducting workshops as well as managing in flight projects focused on cloud and big data.
• Need to work with client in converting business problems/challenges to technical solutions considering security, performance, scalability etc.
• Need to understand current & Future state enterprise architecture.
• Need to contribute in various technical streams during implementation of the project.
• Provide product and design level technical best practices
• Interact with senior client technology leaders, understand their business goals, create, architect, propose, develop and deliver technology solutions
• Define and develop client specific best practices around data management within a Hadoop environment or cloud environment
• Recommend design alternatives for data ingestion, processing and provisioning layers
• Design and develop data ingestion programs to process large data sets in Batch mode using HIVE, Pig and Sqoop, Spark
• Develop data ingestion programs to ingest real-time data from LIVE sources using Apache Kafka, Spark Streaming and related technologies

Tech Stack: -

• AWS
• Experience building on AWS using S3, EC2, Redshift, Glue, EMR, DynamoDB, Lambda, Quick Sight, etc.
• Experience in Pyspark/Spark / Scala
• Experience using software version control tools (Git, Jenkins, Apache Subversion)
• AWS certifications or other related professional technical certifications
• Experience with cloud or on-premises middleware and other enterprise integration technologies.
• Experience in writing MapReduce and/or Spark jobs.
• Demonstrated strength in architecting data warehouse solutions and integrating technical components.
• Good analytical skills with excellent knowledge of SQL.
• 8+ years of work experience with very large data warehousing environment
• Excellent communication skills, both written and verbal
• 3+ years of experience with detailed knowledge of data warehouse technical architectures, infrastructure components, ETL/ ELT, and reporting/analytic tools.
• 3+ years of experience data modelling concepts
• 3+ years of Python and/or Java development experience
• 3+ years’ experience in Big Data stack environments (EMR, Hadoop, MapReduce, Hive)

Skills and attributes for success

• Architect in designing highly scalable solutions AWS.
• Strong understanding & familiarity with all AWS/GCP /Bigdata Ecosystem components
• Strong understanding of underlying AWS/GCP Architectural concepts and distributed computing paradigms
• Hands-on programming experience in Apache Spark using Python/Scala and Spark Streaming
• Hands on experience with major components like cloud ETLs, Spark, Databricks
• Experience working with NoSQL in at least one of the data stores - HBase, Cassandra, MongoDB
• Knowledge of Spark and Kafka integration with multiple Spark jobs to consume messages from multiple Kafka partitions
• Solid understanding of ETL methodologies in a multi-tiered stack, integrating with Big Data systems like Cloudera and Databricks.
• Strong understanding of underlying Hadoop Architectural concepts and distributed computing paradigms
• Experience working with NoSQL in at least one of the data stores - HBase, Cassandra, MongoDB
• Good knowledge in Apache Kafka & Apache Flume
• Experience in Enterprise grade solution implementations.
• Experience in performance bench marking enterprise applications
• Experience in Data security [on the move, at rest]
• Strong UNIX operating system concepts and shell scripting knowledge

To qualify for the role, you must have

• Flexible and proactive/self-motivated working style with strong personal ownership of problem resolution.
• Excellent communicator (written and verbal formal and informal).
• Ability to multi-task under pressure and work independently with minimal supervision.
• Strong verbal and written communication skills.
• Must be a team player and enjoy working in a cooperative and collaborative team environment.
• Adaptable to new technologies and standards.
• Participate in all aspects of Big Data solution delivery life cycle including analysis, design, development, testing, production deployment, and support
• Responsible for the evaluation of technical risks and map out mitigation strategies
• Experience in Data security [on the move, at rest]
• Experience in performance bench marking enterprise applications
• Working knowledge in any of the cloud platform, AWS or Azure or GCP
• Excellent business communication, Consulting, Quality process skills
• Excellent Consulting Skills
• Excellence in leading Solution Architecture, Design, Build and Execute for leading clients in Banking, Wealth Asset Management, or Insurance domain.
• Minimum 8 years industry experience

Ideally, you’ll also have

• Strong project management skills
• Client management skills
• Solutioning skills

What we look for

• People with technical experience and enthusiasm to learn new things in this fast-moving environment

You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer:

• Support, coaching and feedback from some of the most engaging colleagues around
• Opportunities to develop new skills and progress your career
• The freedom and flexibility to handle your role in a way that’s right for you

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.