Are you passionate about capital markets technology and experienced in Summit FT? We re looking for a skilled Summit Developer to drive solution architecture and implementation across high-impact financial systems. What You ll Do: Design, develop, and maintain solutions using Summit FT V6 and above Work across multiple modules including: Credit Risk Management Market Risk Management STP (Straight Through Processing) Payments and Settlements Collaborate with business and technology teams to align system capabilities with capital markets requirements. Troubleshoot issues and implement improvements across the trade lifecycle. Ensure seamless integration and data flow in Summit applications. What You Bring: of hands-on experience with Summit FT, preferably version 6 or later. Strong knowledge of business workflows and financial instruments. Proven expertise across as listed above. Strong analytical, problem-solving, and communication skills. Ability to work collaboratively in fast-paced, distributed teams. What You ll Get: Work on mission-critical systems for global capital markets clients. Exposure to advanced risk management and trade processing solutions. Dynamic, hybrid work environment across multiple metro cities.

Liaise with business users to gather, analyze, and document functional and technical requirements. Partner with technical teams to design and implement solutions that align with business objectives. Prepare detailed functional specifications and test cases to support development and QA processes. Collaborate with Business Analysts, QA teams, and Subject Matter Experts (SMEs) across the project lifecycle. Ensure deliverables are aligned with client expectations and project timelines. Contribute to system testing, defect tracking, and issue resolution. What You Bring: 8+ years of experience as a Business Analyst in the financial services domain. Strong hands-on experience with Summit FT architecture and understanding of its application in trading and risk systems. Proven ability to translate complex business requirements into actionable technical specifications. Experience working in Agile/Scrum environments. Excellent communication, documentation, and stakeholder management skills. Nice to Have: Exposure to capital markets, trading, risk management, or treasury operations. Experience with SQL or basic data analysis tools. Familiarity with system integration, testing strategies, or regulatory reporting. What You ll Get: Opportunity to work on transformative financial technology projects. Collaborative work environment with domain and technology experts.

Join our engineering team as a Senior Backend Engineer and lead the development of cloud-native, scalable microservices RESTful APIs using modern Python frameworks . Youll work with CI/CD tools to build robust backend systems powering next-gen platforms. If you have hands-on experience with , and are skilled in distributed systems relational/NoSQL databases , we want to hear from you. Key Responsibilities: Microservices Development Design, build, and optimize microservices architecture using patterns like Service Discovery Circuit Breaker API Gateway Saga orchestration REST API Engineering Develop high-performance frameworks like Django REST Framework Cloud-Native Backend Systems Build and deploy containerized applications . Familiarity with Kubernetes (K8s) for orchestration is a plus. CI/CD Automation Create and maintain DevOps pipelines GitLab CI/CD GitHub Actions for automated testing and deployment. Source Code Management Collaborate through Git-based version control , ensuring code quality via pull requests peer reviews on platforms like Event-Driven Architecture Implement and manage data streaming messaging pipelines Apache Kafka Amazon Kinesis , or equivalent. Database Engineering Work with , and optionally solutions such as Cloud Infrastructure Architect and manage AWS backend services Big Data Integration (Desirable) for distributed data processing and scalable ETL workflows in data engineering Polyglot Collaboration Integrate with backend services or data processors developed in , or other enterprise technologies. Required Skills & Qualifications: Bachelors or Masters in Computer Science Software Engineering , or a related technical field. 6+ years in backend development Proven expertise in API development cloud-native applications Proficiency in database schema design , and query optimization. Strong grasp of DevOps best practices Git workflows code quality standards Experience with streaming platforms message queues event-driven design Nice to Have: Exposure to big data tools (e.g., Familiarity with Agile/Scrum methodologies cross-functional teams Competitive salary and performance-based bonuses Opportunity to build next-gen backend platforms for global-scale applications. Work with a team that values

Are you an experienced Business Analyst with a strong command of capital markets and financial data? Were seeking a skilled BA to join our team and drive data-centric initiatives within a dynamic and agile environment. What You ll Do: Analyze and document business requirements in capital markets or investment banking domains. Create high-quality Functional Requirements Documents (FRDs) and Business Requirements Documents (BRDs). Collaborate with stakeholders to understand financial systems and data needs. Leverage SQL for data extraction, transformation, and deep analysis. Operate within Agile methodologies to deliver iterative business value. Support risk data initiatives with strong domain understanding. What You Bring: 7+ years as a Business Analyst in capital markets or investment banking. Excellent SQL skills for data analysis and extraction. Strong understanding of financial markets; risk data knowledge is a plus. Proven experience in creating BRDs and FRDs. Prior work in agile delivery environments. Technical Skills: Proficient in SQL for complex data analysis. Familiarity with tools like Tableau or Power BI is an advantage. Soft Skills: Strong analytical and problem-solving capabilities. Excellent communication and interpersonal skills. Team player with a collaborative mindset.

Are you passionate about building data solutions on the cloud and experienced in Python and GCP BigQuery? Join our team to build scalable pipelines, automate processes, and enable smarter decision-making with Dataiku and modern cloud tooling. What You ll Do: Build and manage data workflows in , including partitioned datasets. Develop and optimize scripts for complex data transformations using Integrate data sources and orchestrate transformations using Google Cloud Platform (BigQuery) to manage infrastructure and deployment of code changes in a scalable, automated fashion. Collaborate with data scientists, analysts, and DevOps to deliver end-to-end data solutions. What You Bring: 1.5 2+ years of hands-on experience with Dataiku , particularly working with partitioned datasets. Strong command of , especially for data handling using Practical knowledge of regular expressions (regex) for data cleaning and transformation. for querying and managing large datasets. to manage cloud infrastructure and code deployments. Nice to Have: Exposure to CI/CD practices in data workflows. Prior experience in data governance, metadata management, or MLOps environments. What You ll Get: Competitive compensation and hybrid flexibility. Opportunity to work on large-scale, impactful cloud data projects. Collaborative culture with a strong focus on technical excellence and learning. Access to cutting-edge tools in the data engineering ecosystem.

Work on implementation, customization, and enhancement of SmartStream TLM modules. Design, develop, and configure TLM components like Smart Schema and Recon Admin. Interpret business requirements, contribute to design documents, and deliver technical solutions. Perform development and support across TLM RP 3.0.8 implementations. Collaborate with cross-functional teams in a fast-paced delivery environment. Conduct unit testing, support SIT/UAT phases, and troubleshoot issues in UNIX-Oracle environments. What You Bring: Hands-on experience in Strong knowledge in TLM RP 3.0.8 and TLM architecture. , and other TLM components. Sound technical expertise in Oracle SQL/PLSQL Ability to understand business logic and translate into effective technical configurations. Experience in documentation: functional specs, design specs, and technical artifacts. Nice to Have: Exposure to end-to-end implementation of reconciliation workflows. Familiarity with financial domain, particularly banking operations and reconciliations. What You ll Get: Highly competitive monthly compensation. Work with Tier-1 global clients and core banking environments. Exposure to cutting-edge reconciliation technology and platforms. Supportive work culture with opportunities for skill advancement.

Are you passionate about building scalable data systems and driving data quality across complex ecosystems? Join Derisk360 to work on advanced cloud and data engineering initiatives that power intelligent business decision-making. What You ll Do: Work with a broad stack of AWS services: S3, AWS Glue, Glue Catalog, Lambda, Step Functions, EventBridge , and more. Develop and implement robust data quality checks using DQ libraries. Lead efforts in data modeling and manage relational and NoSQL databases. Build and automate ETL workflows using Unix scripting DevOps and Agile methodologies , including use of CI/CD tools and code repositories. Engineer scalable big data solutions with Apache Spark Design impactful dashboards using Amazon QuickSight Microsoft Power BI Work extensively on Integrate real-time data pipelines with data sourcing strategies, including real-time integration solutions. Spearhead cloud migration efforts to Azure Data Lake , including data transitions from on-premise environments. What You Bring: 8+ years of hands-on experience in data engineering roles. Proficiency in AWS cloud services and modern ETL technologies Solid programming experience in Strong understanding of data architecture quality frameworks reporting tools Experience working in Agile environments and using version control/CI pipelines. Exposure to big data frameworks real-time integration tools cloud data platforms What You ll Get: Competitive compensation. Lead and contribute to mission-critical data engineering projects. Work in a high-performance team at the intersection of Continuous learning environment with access to cutting-edge technologies.

Are you passionate about building scalable ML pipelines and deploying intelligent systems in the cloud? At Derisk360, we help transform businesses by combining AI expertise with deep domain knowledge. Were seeking a Senior ML Engineer to take our ML infrastructure to the next level using AWS SageMaker and state-of-the-art MLOps practices. What You ll Do: Develop, deploy, and manage ML models using AWS SageMaker, including pipelines, real-time endpoints, and batch transform jobs. Architect infrastructure using Infrastructure as Code (IAC) tools such as Terraform or AWS CloudFormation. Build robust, scalable solutions across real-time and batch systems with high reliability and performance. Design secure and scalable AWS networking environments tailored for ML workflows. Collaborate with data scientists, ML engineers, and DevOps to optimize model development and deployment pipelines. Contribute to automation, CI/CD pipelines, and monitoring strategies for ML systems. 7+ years of experience in software engineering, with at least 3+ years working on AWS SageMaker in production environments. Proficient in AWS services (EC2, S3, Lambda, IAM, VPC, CloudWatch) and deep understanding of AWS networking concepts. Solid experience with Terraform or CloudFormation for IAC implementation. Strong programming skills in Python and hands-on experience with ML frameworks like TensorFlow, PyTorch, or Scikit-learn. Familiarity with model training, evaluation, versioning, and operationalizing in cloud environments. Experience integrating ML workflows with data lakes or data pipelines. Exposure to MLOps practices including experiment tracking, model registry, and containerization (Docker). Understanding of security best practices in AWS for machine learning. What You ll Get: Competitive salary with performance-based bonuses Lead innovative ML projects with top-tier insurance and risk-tech clients Work in a tech-forward, collaborative environment Opportunities to grow within a high-impact, AI-focused team Access to complex cloud-native platforms and enterprise-grade ML systems

Lead and manage Dynamics 365 solution deployments. Coordinate and execute component-based deployments. Handle projects with shared components across multiple deployments. Collaborate in an Agile team environment and follow governance processes. Technical Skills Required: Microsoft Dynamics 365: Strong understanding of D365 Basics and solution architecture. Experience in solutioning and component-based deployments . Deep knowledge of Managed vs Unmanaged solutions . Hands-on experience with Power Automate , Canvas Apps , Custom Pages , and Plugin deployments . Expertise in troubleshooting deployment issues. DevOps CI/CD: Proficient in GitLab , TeamCity , and Pipeline Management . Experience with PowerShell scripting for automation tasks. Other Tools Practices: Working knowledge of JIRA , Confluence , and Agile methodologies . Good to have: Experience with automated password rotations using service principals . Nice to Have: Exposure to security automation and DevSecOps practices. Understanding of compliance and governance in cloud-based environments.

Experience: 10+ Years Job Overview: We are seeking a highly skilled Power Platform Engineer or Microsoft Dynamics 365 Specialist with over 10 years of hands-on experience to join our dynamic team. The ideal candidate will have strong expertise in designing, developing, and implementing solutions using Microsoft Power Platform tools, including Power Apps, Power Automate, and Power BI . This role requires a deep understanding of business processes, technical leadership, and collaboration with cross-functional teams. Key Responsibilities: Develop and customize Power Apps (Canvas and Model-Driven) applications based on business requirements. Design and implement complex workflows and business process automation using Power Automate . Design and customize Power BI reports and dashboards for data visualization. Collaborate with stakeholders to gather requirements and deliver process improvement solutions. Integrate Power Platform solutions with other Microsoft services and third-party applications . Provide technical guidance and mentorship to junior team members. Troubleshoot and resolve issues related to Power Platform solutions promptly. Required Qualifications: Bachelor s degree in Computer Science , Information Technology , or related field. 7 8 years of hands-on experience with Microsoft Power Platform tools (Power Apps, Power Automate, Power BI). Strong understanding of relational databases and proficiency with SQL Server or similar platforms. Good working knowledge of Azure integrations with Power Platform. Experience with SharePoint Online and Microsoft Teams integration with Power Platform is a plus. Excellent problem-solving and communication skills. Ability to collaborate effectively with cross-functional teams. Preferred Qualifications: Microsoft Certifications such as PL-200 and PL-400 . Hands-on experience with Power BI is an added advantage.