דרושים Fullstack-sr-mw ב-Ey ב-India, Bengaluru

Description

Within FSRM, the Market Risk (MR) team assists clients to design and implement strategic and functional changes across risk management, treasury, front office, middle office, and back office activities with a focus on risk and valuation processes, regulatory compliance, analytics, strategy, and organizational structure. Practical implementation knowledge of risk and capital management is a key competency of MR, focused on regulatory capital, market and counterparty credit risk management and broker-dealer capital requirements. Clients include large domestic and global financial institutions, broker-dealers, foreign banking organizations, asset management firms and insurance companies with significant capital markets activities. Project teams frequently work with the senior management of these firms, including CFOs and CROs

Your key responsibilities

• Engagement Leadership
  • Demonstrate deep technical capability and industry knowledge of financial products
  • Be the technical lead and subject matter expert in the following areas:
    • Model Risk Management /model development/validation knowledge in market risk (VaR, Stressed VaR, Expected Shortfall, etc.) and/or counterparty credit risk (CVA, PFE, etc.).
    • Working knowledge of statistical and numerical techniques (E.g., Monte-Carlo methods, Finite difference methods)
    • Equity pricing models, Interest Rate Models (HW1F, HW2F, HJM, LMM), Stochastic Volatility (SABR, Heston) model, Local Volatility model (Dupire), frameworks for Volatility stripping and calibration, Bootstrapping of IR curves (Single curve, Multi curve framework), Asset Liability Management (NII, MVPE) and Prepayment Models
    • Knowledge of mathematical concepts like Stochastic Calculus, Differential and Integral calculus (ODE/PDE/SDE), Numerical Methods, Linear algebra, Measure Theory.
    • Pricing derivatives for any of the asset classes such as fixed income, equities, credit, interest rates, FX, and commodities.
    • Programming languages like Python/R/C++

• • Advise and provide clients with strategic recommendations on Financial Services Risk Management issues facing the financial services sector, focusing on the identification, measurement, and management of Traded Products Risk and Capital
  • Participate in Quantitative Risk and Assurance engagements such as derivatives pricing, market risk and counterparty credit risk modelling and model validation support.
  • Understanding clients’ unique ambitions and needs and referring them to colleagues in other teams and areas to broaden our business relationships

• Go-To-Market
  • Drive and lead business development initiatives
  • Provide sales and pursuit enablement support
  • Lead expansion of business in various accounts and sectors by expanding and leveraging the relationships and contacts in the market
  • Experience in stakeholder and client management
  • Build and maintain long-term relationships both in the market and within the wide-ranging EY network

People responsibilities
• Conduct performance reviews and contribute to performance feedback for Senior Consultants and Managers
• Contribute to people initiatives including recruiting talent
• Maintain an educational program to continually develop personal skills

Intellectual capital building responsibilities
• Play your part in developing intellectual capital to support delivering superior outcomes for client and firm
• Provide insights in creating thought leadership articles and white paper in the areas of upcoming market risk topics and trends.

To qualify for the role, you should have

• Undergraduate (4-year degree) or Masters (Computational Finance, Mathematics, Engineering, Statistics, or Physics preferred) or Ph.D. in quantitative topics with at least 11+ years of relevant industry experience and track record.
• Professional Qualification e.g., CQF / CFA / FRM / PRM would be preferred
• Significant experience in application and justification of statistical and numerical techniques and principles of the theory of probability.
• Good understanding of Derivative Pricing, Market risk measurement and CVA methodologies used for the trading, risk management and ideally calculation of regulatory capital requirements.
• Modelling background, including experience in model development and model validation
• Excellent communication, strong problem solving and solution development skills
• Project management and report writing experience
• Ability to drive business development and contribute to the growth of the EY solutions
• Willingness to travel to meet client needs
• A self-starter, can-do attitude with energy and willingness to try new things

Everything you’ll do will come back to providing exceptional services to our clients. Colleagues and clients will look to you to lead components of the project, drive high quality results while coaching & motivating staff and managing client expectations. You will build your knowledge and experience, become a trusted advisor, and take your career to new heights.

We offer a competitive compensation package where you’ll be rewarded based on your performance and recognized for the value you bring to our business. Plus, we offer:

• A collaborative environment where everyone works together to create a better working world
• Excellent training and development prospects, both through established programs and on-the-job training
• An excellent team of senior colleagues, dedicated to managing and varying your workload

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.

The selected candidate will:

• Leads the Development & Engineering team in area of specialism and develops the team to ensure it has the right capability
• Work very closely with Product Owners, Software Developers, Designers and Domain Experts, in an Agile working model.
• Assume additional technical, organizational or coordination tasks or roles, as required
• Strategically leverages networks to drive innovation, best practice and a continuous improvement culture
• Collaborate intensively with colleagues inside and outside the team and collaborate professionally with Business Owners.

Your key responsibilities

• Design and architect scalable, high-performance web applications using React JS for the front end and Node JS for the back end. Experience in Express JS and Angular is desired.
• Collaborate with product managers, designers, and other stakeholders to define application requirements and specifications.
• Lead the development team in implementing best practices for coding, testing, and deployment.
• Conduct code reviews and provide mentorship to junior developers.
• Ensure the application is secure, maintainable, and optimized for performance.
• Stay up-to-date with emerging technologies and industry trends to continuously improve the development process.
• Develop and maintain technical documentation for the architecture and design of applications.
• Troubleshoot and resolve technical issues as they arise.
• Assist in the collection and documentation of user's requirements, development of user stories, estimates and work plans.
• Work effectively in a fast paced and changing business environment. Flexibility and adaptability are must haves to be successful in this role.

Skills and attributes for success

• Highly advanced knowledge of designing, developing, and debugging solutions
• Proven experience as a Fullstack Developer or Architect with a strong focus on React JS and Node JS.
• In-depth knowledge of JavaScript, HTML, CSS, and modern front-end frameworks.
• Experience with RESTful APIs and microservices architecture.
• Familiarity with database technologies such as MongoDB, PostgreSQL, or MySQL.
• Strong understanding of version control systems (e.g., Git).
• Excellent problem-solving skills and attention to detail.
• Good communication skills

To qualify for the role, you must have

• Bachelor’s degree in computer science, Engineering, IT, Mathematics, or related field preferred
• B. Tech / MTech / MCA with an aggregate score of 70% or above from IIT/NIT/any tier 1 Institute preferred
• 6 to 9 years of experience in Fullstack web application development and deployment in multi-cloud scenarios.
• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud).
• Knowledge of containerization technologies (e.g., Docker, Kubernetes).
• Familiarity with Agile methodologies and DevOps practices.
• Strong focus on Database and experienced in writing scalable SQL

Ideally, you’ll also have

• Strong analytical capabilities and logical skills, Solution designing experience is a must.
• Provide technical leadership to teammates through coaching and mentorship. Maintain high standards of software quality within the team by establishing good practices and habits.
• Good understanding of agile methodology and scrum processes.

What we look for

• A self-starter, independent-thinker, curious and creative person with ambition and passion

We offer a competitive remuneration package where you’ll be rewarded for your individual and team performance. Our comprehensive Total Rewards package includes support for flexible working and career development, and with FlexEY you can select benefits that suit your needs, covering holidays, health and well-being, insurance, savings and a wide range of discounts, offers and promotions. 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

The selected candidate will:

• Leads the Development & Engineering team in area of specialism and develops the team to ensure it has the right capability
• Work very closely with Product Owners, Software Developers, Designers and Domain Experts, in an Agile working model.
• Assume additional technical, organizational or coordination tasks or roles, as required
• Strategically leverages networks to drive innovation, best practice and a continuous improvement culture
• Collaborate intensively with colleagues inside and outside the team and collaborate professionally with Business Owners.

Your key responsibilities

• Assume responsibility for designing, developing, implementing and testing complete end-to-end business processes with a strong focus on quality
• Guide team development efforts towards successful product delivery.
• Collaborate with designers and domain experts. Work in a diverse team applying Scrum and agile development
• Identify and encourage areas for growth and improvement within the team. Collaborate with other software developers, business analysts and software architects to plan, design, develop, test, and maintain applications built on SAP technologies.
• Assist in the collection and documentation of user's requirements, development of user stories, estimates and work plans.
• Work effectively in a fast paced and changing business environment. Flexibility and adaptability are must haves to be successful in this role.

Skills and attributes for success

• Highly advanced knowledge of designing, developing, and debugging solutions
• Strong programming background and excellent technical skills in Design, coding, testing and delivery of secure, scalable, reliable, robust and performant applications.
• Knowledge in the following areas is beneficial: BTP, Cloud Foundry.
• Good communication skills

To qualify for the role, you must have

• Bachelor's Degree in Computer Science, Engineering, IT, Mathematics, or related field preferred
• B.Tech / M.Tech / MCA with an aggregate score of 70% or above from IIT/NIT/any tier 1 Institute preferred
• 6 to 9 years’ of experience in software development primarily in SAP technologies.
• Strong programming background of/Experience in UI technologies: UI5, Fiori, HTML5, JavaScript, TypeScript, NodeJS, CSS3Should have experience in Developing CAP Programming Model and HANA CDS and Node js
• Knowledge of automation test frameworks like SonarQube is required.
• Experience in cloud-based development using BTP, Cloud Foundry, Docker, AWS or Azure
• Understanding of OData, CDS views, any Database preferably HANA
• Exposure to UX designing is a plus.
• Combine CAPM (Cloud Application Programming Model) with SAP HANA Cloud to Create Full-Stack Applications
• Configure and Run a Predefined SAP Continuous Integration and Delivery (CI/CD) Pipeline
• Use core data services (CDS) in the context of the SAP CAP to quickly set up OData service.
• Consume Remote Services from SAP S/4HANA Cloud and Add the Consumption of an External Service Using CAP
• An advanced level of experience in SAP CDS and SQL is a must.
• An advanced level of experience in Stored Procedures, Triggers, Functions, and Creating Tables, and Views using SQL is a must.
• Expertise in Transact-SQL (DDL, DML, DCL) and in the Design and Normalization of database tables.
• Experience in Native HANA Modelling using HANA Studio - Experience in creating Calculation views, CDS views & Stored Procedures, Analytic Privileges, Input Parameters, Table function, Sc
• Proven knowledge of SAP HANA, CAPM, MTA, XSA, Cloud Foundry, NodeJS, Modelling, and SQL
• Experience using business application studio and VScode.
• Good experience on Identity Authentication, Identity Provider and OAuth
• Good to have SAP Fiori setup, activate and troubleshooting methodology
• Comfortable working with Annotations, Fiori elements, and SAP UI5 Smart controls.
• SAP BTP Cloud Foundry hands-on Experience is a must-have.
• Requires understanding of SAP Business technology platform (Cloud), SAP CAP- Cloud Application Programming Model, SAP Business Application Studio.
• GIT HUB, GIT, DevOps, Nodejs, & Microservice Architecture.
• Needs expertise in development, deploying configuring applications on cloud foundry using SAP CAPM.
• Experience in working with APIs (REST / SOAP) is a must.
• Knowledge of BTP Services like workflow management, Hana cloud, Document Service, etc, and configuring destination to cloud and Premise systems and using them in Applications.
• Knowledge of platform, operations like identity authorization, role collection configuration, etc.
• Expertise in these areas: SAPUI5 and FIORI APPS extension/configurations, SAP BAS to develop Fiori applications, JavaScript/ jQuery to write functions, good knowledge on MVC framework.
• Strong focus on Database and experienced in writing scalable SQL
• Experience in OData / Rest protocols
• Knowledge and experience in SAP Integration Suite and event mesh.

Ideally, you’ll also have

• Strong analytical capabilities and logical skills, Solution designing experience is a must.
• Provide technical leadership to teammates through coaching and mentorship. Maintain high standards of software quality within the team by establishing good practices and habits.
• Good understanding of agile methodology and scrum processes.
• Work with geographically distributed teams seamlessly
• Ensure excellent quality and maintain high standards in all processes listed in the relevant process map
• Experience / PoC developments in Joule Studio and other Joule skills desired

What we look for

We offer a competitive remuneration package where you’ll be rewarded for your individual and team performance. Our comprehensive Total Rewards package includes support for flexible working and career development, and with FlexEY you can select benefits that suit your needs, covering holidays, health and well-being, insurance, savings and a wide range of discounts, offers and promotions. 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

Job Title: Senior Mulesoft Developer (3-5 Years' Experience)

We are looking for a seasoned Senior Mulesoft Developer with 3-5 years of in-depth experience in the Mulesoft ecosystem to lead our integration initiatives. The successful candidate will be responsible for designing and implementing complex integration solutions, mentoring junior developers, and driving innovation within our integration practices.

Key Responsibilities:

• Lead the design and development of enterprise-level integration solutions using Mulesoft Anypoint Platform.
• Serve as a subject matter expert in Mulesoft technologies and provide guidance to the development team.
• Collaborate with project managers, business analysts, and other stakeholders to define integration requirements and ensure alignment with business goals.
• Develop high-quality, reusable APIs and integration flows using Mule ESB and Anypoint Studio.
• Create and maintain complex data transformations and mappings using DataWeave.
• Oversee end-to-end integration solutions from design through to deployment and post-production support.
• Implement best practices for API-led connectivity and ensure compliance with security and governance policies.
• Conduct code reviews, enforce coding standards, and foster a culture of continuous improvement.
• Optimize application performance, scalability, and security.
• Lead the troubleshooting and resolution of integration issues.
• Mentor junior developers and contribute to their professional growth.
• Document integration processes, design decisions, and operational manuals.
• Stay abreast of the latest Mulesoft features and updates, and recommend adoption of new technologies where appropriate.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
• 3-5 years of hands-on experience with Mulesoft Anypoint Platform.
• Advanced knowledge of Mule 3.x and/or Mule 4.x, Anypoint Studio, API Designer, and Mulesoft's API-led connectivity approach.
• Proven track record of developing complex integration solutions in a large-scale environment.
• Strong experience with RESTful and SOAP web services, as well as RAML and Swagger/OpenAPI specifications.
• In-depth understanding of integration patterns, SOA, ESB architecture, and microservices.
• Expertise in CI/CD practices and tools such as Jenkins, Maven, Git, and Anypoint CI/CD.
• Proficiency in various data formats and transformation techniques (XML, JSON, CSV, etc.).
• Experience with both CloudHub and on-premises deployments, as well as containerization technologies like Docker and Kubernetes.
• Exceptional problem-solving, analytical, and technical troubleshooting skills.
• Excellent leadership, communication, and interpersonal skills.
• Mulesoft Certified Integration Architect or Mulesoft Certified Platform Architect is highly desirable.

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.

Scope:

• Reports preparation
• Accounting record, FP&A reconciliation, and analysis.
• Preparation of Management financial statements
• Participation on Monthly statements (management)
• Management reports for the management and administrative tasks of the sector
• Support on preparation of financial budget and forecasts, and track Actuals vs. Forecast numbers.
• Accounts receivables & Billing activities
• Interaction with multiple internal and external stakeholders within a matrixed and global organization.

Requirements:

• Previous experience as an accountant of at least 3-4 years.
• Graduated Accountant.
• Advanced English skills
• Advanced Excel skills
• Hyperion (not a must)
• Previous experience in a multinational company (not a must)
• Knowledge of SAP (not a must).

Soft skills needed:

• Proactivity
• Flexibility
• Analytical skills
• Critical thinking
• Dynamism and ability to work individually and in teams.
• Good interpersonal relationship management

We offer:

• Possibility to work in a global team.
• Attractive compensation and benefits package.
• Home Office (to be defined the numbers of days)
• Annual variable bonuses.
• Intense training and career development plan.
• Private medical coverage
• Flexibility and special leave policies.

Role Overview:

We are seeking a highly skilled and experiencedwith a minimum of 4 years of experience in Data Science and Machine Learning, with a strong focus on NLP, Generative AI, LLMs, MLOps, Optimization techniques, and Agentic 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 Agents, workflows and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role.

Key Responsibilities:

• Design and implement state-of-the-art Agentic AI solutions tailored for the financial and accounting industry.
• Develop and implement AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI to solve industry-specific challenges.
• Collaborate with stakeholders to identify business opportunities and define AI project goals within the financial and accounting sectors.
• Stay updated with the latest advancements in generative AI techniques, such as LLMs, Agents and evaluate their potential applications in financial and accounting contexts.
• Utilize generative AI techniques, such as LLMs and Agentic Framework, to develop innovative solutions for financial and accounting 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.
• Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for financial and accounting 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.

Qualifications & Skills:

• Education – Bachelor’s/Master’s in Computer Science, Engineering, or related field (Ph.D. preferred).
• Experience – 4+ years in Data Science/Machine Learning with proven end-to-end project delivery.
• Technical Expertise – Strong in ML, deep learning, generative AI, RAG, and agentic AI design patterns.
• Programming Skills – Proficient in Python (plus R), with hands-on experience in TensorFlow, PyTorch, and modern ML/data stacks.
• GenAI Frameworks – Experience with LangChain, LangGraph, Crew, and other agentic AI frameworks.
• Cloud & Infrastructure – Skilled in AWS/Azure/GCP, containerization (Docker, Kubernetes), automation (CI/CD), and data/ML pipelines.
• Data Engineering – Expertise in data curation, preprocessing, feature engineering, and handling large-scale datasets.
• AI Governance – Knowledge of responsible AI, including fairness, transparency, privacy, and security.
• Collaboration & Communication – Strong cross-functional leadership with ability to align technical work to business goals and communicate insights clearly.
• Innovation & Thought Leadership – Track record of driving innovation, staying updated with latest AI/LLM advancements, and advocating best practices.

Good to Have Skills:

• Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models.
• Utilize optimization tools and techniques, including MIP (Mixed Integer Programming).
• Deep knowledge of classical AIML (regression, classification, time series, clustering).
• Drive DevOps and MLOps practices, covering CI/CD 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.

Required Skills:

• 6-8 years of software development experience in a product engineering background within the payment and financial industry.
• Strong experience in Java (Version 8 and above), Spring Boot, REST APIs, and Microservices.
• Proficiency in front-end technologies such as HTML, CSS, JavaScript, and React.
• Design and build key components for a distributed transaction engine and payment processing logic, including APIs and payment tokenization.
• Hands-on experience with cloud deployments.
• Strong understanding of Java design patterns, data structures, and algorithms.
• Experience with NoSQL databases and distributed messaging systems (e.g., Redis, Kafka, Couchbase, Cassandra) in low-latency, high-transaction environments.
• Backend experience with Apache Cassandra and relational databases like Oracle and PostgreSQL.
• Expertise in application design, software development, and automated testing.
• Proven experience in object-oriented design and coding.
• Familiarity with Agile or rapid application development methodologies and experience in Scrum teams.
• Bachelor’s degree in Computer Science, Computer Engineering, or a related field is required.

Desirable Skills:

• Knowledge of Spring and Vert.x.
• Functional and technical understanding of payment architectures, core payment processing solutions and underlying payment business processes. Experience on any industry led platforms would be a bonus.
• Understanding of the basic payment hub architecture, the surround systems for payment hubs in a typical payment hub architecture
• Familiarity with distributed (multi-tiered) systems.