Deal Optimization Analyst

Experience:5-8 Years Location: Gurugram

Employment Type: Full-Time

Notice Period: Immediate to 15 Days Domain: Banking/Finance

Key Responsibilities:

• Design, develop and maintain robust test automation frameworks for financial applications

• Create detailed test plans, test cases, and test scripts based on business requirements and user stories

• Execute functional, regression, integration, and API testing with a focus on financial data integrity

• Validate complex financial calculations, transaction processing, and reporting functionalities

• Collaborate with Business Analysts and development teams to understand requirements and ensure complete test coverage

• Implement automated testing solutions within CI/CD pipelines for continuous delivery

• Perform data validation testing against financial databases and data warehouses

• Identify, document, and track defects through resolution using defect management

tools

• Verify compliance with financial regulations and industry standards

• Generate test metrics and reports to provide insights into application quality and testing progress

• Participate in performance and security testing of financial systems

Work Mode: Hybrid (2 days WFO)

We are looking for a Data Engineer who is a self-starter to work in a diverse and fast-paced environment within our Enterprise Data team. This is an individual contributor role that is responsible for designing and developing of data solutions that are strategic for the business and built on the latest technologies and patterns,regional and global level by utilizing in-depth knowledge of data, infrastructure, technologies and data engineering experience.

Responsibilities

· Design, Architect, and Develop solutions leveraging cloud big data technology to ingest, process and analyze large, disparate data sets to exceed business requirements

· Develop systems that ingest, cleanse and normalize diverse datasets, develop data pipelines from various internal and external sources and build structure for previously unstructured data

· Interact with internal colleagues and external professionals to determine requirements, anticipate future needs, and identify areas of opportunity to drive data development

· Develop good understanding of how data will flow & stored through an organization across multiple applications such as CRM, Broker & Sales tools, Finance, HR etc

· Unify, enrich, and analyze variety of data to derive insights and opportunities

· Design & develop data management and data persistence solutions for application use cases leveraging relational, non-relational databases and enhancing our data processing capabilities

· Develop POCs to influence platform architects, product managers and software engineers to validate solution proposals and migrate

· Develop data lake solution to store structured and unstructured data from internal and external sources and provide technical guidance to help migrate colleagues to modern technology platform

· Contribute and adhere to CI/CD processes, development best practices and strengthen the discipline in Data Engineering Org

· Mentor other members in the team and organization and contribute to organizations’ growth.

Soft Skills

· Independent and able to manage, prioritize & lead workloads

· Team player, Reliable, self-motivated, and self-disciplined individual capable of executing on multiple projects simultaneously within a fast-paced environment working with cross functional teams

· Strong communication and collaboration skills, with the ability to work effectively in a team environment.

Technical Skills

· 8+ years’ work experience and bachelor’s degree in Information Science, Computer Science, Mathematics, Statistics or a quantitative discipline in science, business, or social science.

· Hands-on engineer who is curious about technology, should be able to quickly adopt to change and one who understands the technologies supporting areas such as Cloud Computing (AWS, Azure(preferred), etc.), Micro Services, Streaming Technologies, Network, Security, etc.

· 5 or more years of active development experience as a data developer using Python-spark, Spark Streaming, Azure SQL Server, Cosmos DB/Mongo DB, Azure Event Hubs, Azure Data Lake Storage, Azure Search, Azure Data factory and Azure synapse analytics, Git Integration with Azure DevOps, etc.

· Experience with designing & developing data management and data persistence solutions for application use cases leveraging relational, non-relational databases and enhancing our data processing capabilities

· Experience with building, testing and enhancing data curation pipelines and integrating data from a wide variety of sources like DBMS, File systems, APIs and streaming systems for various KPIs and metrics development with high data quality and integrity

· Experience with maintaining the health and monitoring of assigned data engineering capabilities that span analytic functions by triaging maintenance issues; ensuring high availability of the platform; monitoring workload demands; working with Infrastructure Engineering teams to maintain the data platform; serve as an SME of one or more application

· 3+ years of experience working with source code control systems and Continuous Integration/Continuous Deployment tools                                                 

• Design and implementation of the frontend applications and Mobile apps
• “Pixel-perfect” implementation of our approved user interface
• Ability to understand business requirements and translate them into technical requirements
• Break features into simpler granular tasks, estimate effort required, and identify dependencies
• Work with Analyst and back end developers to deliver a seamless user experience
• Write clean, efficient, maintainable code with good test coverage
• Build reusable code and libraries for future use and optimize the application for maximum speed and scalability
• Test and Debug as required

Expected Qualifications and Key Skills

• BSc or B.E in Computer Science / Engineering from a tier-1 college in India or abroad
• Proficiency in JavaScript, including DOM manipulation and the JavaScript object model
• Strong understanding of UI/UX, responsive design, cross-browser compatibility, AJAX, and general web standards
• Thorough understanding of React.js and its core principles
• Experience with popular React.js workflows (such as Flux or Redux)
• Familiarity with newer specifications of EcmaScript/TypeScript
• Experience with data structure libraries (e.g., Immutable.js)
• Knowledge of isomorphic React is a plus
• Familiarity with RESTful APIs
• Knowledge of modern authorization mechanisms, such as JSON Web Token
• Familiarity with modern front-end build pipelines and tools
• Experience with common front-end development tools such as Babel, Webpack, NPM, etc.
• Proficiency with Git / Version control

What you need to have:

• Research and test novel machine learning approaches for analysing large-scale distributed computing applications.
• Develop production-ready implementations of proposed solutions across different models AI and ML algorithms, including testing on live customer data to improve accuracy,  efficacy, and robustness
• Work closely with other functional teams to integrate implemented systems into the SaaS platform
• Suggest innovative and creative concepts and ideas that would improve the overall platform

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The ideal candidate must have the following qualifications:

• 5 + years experience in practical implementation and deployment of large customer-facing ML based systems.
• MS or M Tech (preferred) in applied mathematics/statistics;  CS or Engineering disciplines are acceptable but must have with strong quantitative and applied mathematical skills
• In-depth working, beyond coursework, familiarity with classical and current ML techniques, both supervised and unsupervised learning techniques and algorithms
• Implementation experiences and deep knowledge of Classification, Time Series Analysis, Pattern Recognition, Reinforcement Learning, Deep Learning, Dynamic Programming and Optimization
• Experience in working on modeling graph structures related to spatiotemporal systems
• Programming skills in Python is a must
• Experience in developing and deploying on cloud (AWS or Google or Azure)
• Good verbal and written communication skills
• Familiarity with well-known ML frameworks such as Pandas, Keras, TensorFlow

Most importantly, you should be someone who is passionate about building new and innovative products that solve tough real-world problems.

Chennai, India