• Analytics engineering with real impact: You build scalable, reliable data pipelines to modern standards — from modeling and orchestration to monitoring and data quality. • You create a stable foundation that all teams can rely on. • Data modeling for everyone: You design reusable data models and a clear layered structure, define metrics, and ensure they mean the same thing everywhere. • Scalable analytics frameworks: You establish standards and governance for our modern data stack so we can scale without losing clarity. • From data to decisions: You turn complex data into clear visuals, creating the basis for well-founded decisions. • Many paths to the goal: You pick the smartest approach that actually works and moves us forward. • Growing together: You’ll work directly with our Analytics Lead, Lisa, and become part of our vision to make decision-making at Maniko sustainably data-driven.

• Build, maintain, and optimize Python-based data processing workflows, including ETL/ELT pipelines, automation scripts, and analytical models. • Engineer and optimize data models, views, and warehouse structures in Snowflake to support analytical performance and data governance. • Write advanced, efficient SQL to transform Claims data and implement reusable data patterns. • Design and develop Power BI dashboards, metrics layers, and semantic models to support reporting and business insights. • Apply deep data structure knowledge and strong analytical thinking to translate complex Claims data and customer‑driven requirements into clear, actionable analytics and production‑ready solutions. • Ensure data integrity, security, and compliance with organizational standards. • Manage workload in a Sprint environment with competing priorities. • Work with Operations customers to structure and translate requirements into data needs with clear pathways and milestones to deliver high-impact products. • Lead cross-functional collaboration across Operations and other engineering groups throughout the engineering lifecycle—from requirements through deployment. • Mentor junior engineers and analysts, sharing best practices for coding, analytical methodology, and solution design. • Consistently contribute to improving engineering processes, documentation, automation, and team standards.

Title: Quantitative Analyst, Portfolio Engineering & Analytics Location: New York United States Job Description: Full time job requisition id R-12532 About Invesco As one of the world’s leading independent global investment firms, Invesco is dedicated to rethinking possibilities for our clients. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, intelligent colleagues, and exposure across a global footprint, come explore your potential at Invesco. What’s in it for you? Our people are at the very core of our success. Invesco employees get more out of life through our comprehensive compensation and benefit offerings including: - Flexible paid time off - Hybrid work schedule - 401(K) matching of 100% up to the first 6% with a discretionary supplemental contribution - Health & wellbeing benefits - Parental Leave benefits - Employee stock purchase plan Job Description About the Team: Responsible for developing and systematizing multi-asset investment frameworks for our solutions orientated clients, as part of the Invesco Solutions group which manages $210 billion* in assets across several systematic and quantitative strategies. The role involves close collaboration with defined benefit and insurance entities, as well as defined contribution plans and wealth entities. Support strategic asset allocation, portfolio construction and advisory, leveraging latest cloud, optimization, and visualization technologies. Responsible for Invesco’s flagship cloud-based and client facing, portfolio construction and analytics platform – Invesco Vision®. (*As of September 30, 2025) About the Role: As part of the portfolio engineering & analytics team, you will work alongside some of the best quantitative researchers and technologists to help evolve our investment capabilities. You will be responsible for performing research, managing data, and developing APIs that will be used to power the investment process along with our flagship portfolio construction and analytics platform – Invesco Vision®. The role will allow for significant opportunities for creativity and innovation. Responsibilities of the Role: - Helping construct multi-asset and single asset portfolios using advanced asset allocation and portfolio construction techniques - Building high performance computing algorithms, infrastructure and APIs - Researching and building prediction and forecasting methods based on both classical statistical techniques as well as ML based techniques including Agentic workflows leveraging Generative AI - Helping translate investment frameworks from various segments of the market (i.e. cash flow driven investing, liability driven investing, insurance capital efficient portfolio construction) into tangible investment and client engagement tools - Leveraging advanced optimization techniques to create optimal portfolio solutions for internal and external stakeholders - Employing multi-period simulation tools to project and optimize performance in the context of flows and optionality - Integrating third party risk models in various portfolio construction exercises - Designing and maintaining procedures and tools that make data management and research more efficient - Working closely with other quantitative and technology teams in the firm in leveraging best practices from a financial theory and technological perspective. - Formulating new ideas for research that will help enhance frameworks and tools - Following academic research and industry trends to constantly incorporate best practice Requirements of the Role: - Advanced degree in quantitative disciplines such as engineering, finance, operations research, or computer science is required - Solid understanding of standard financial engineering techniques - Excellent knowledge of statistics and optimization - Strong Python programming expertise, including experience with FastAPI for building RESTful services, Numba for high-performance computing, and deploying solutions on cloud environments (AWS, Azure, or GCP) - Strong background in technical infrastructure development, Git, and cloud technologies is advantageous - Researching, implementing, and integrating Large Language Models (LLMs) and conversational AI technologies to develop intelligent client engagement tools and chatbots will be beneficial - Experience managing and manipulating large data sets (preferably in SQL) - Strong ability to learn and translate abstract principles into systematic algorithmic representations - Some experience using third party risk models such as BarraOne or Axioma will be a plus - Progress towards CFA designation preferred The salary range for this position in Boston and New York City is $120,000 - $135,000 / year. The total compensation offered for this position includes salary and incentive pay and will vary based on skills, experience and location. Full Time / Part Time Full time Worker Type Employee Job Exempt (Yes / No) Yes Workplace Model Pursuant to Invesco’s Workplace Policy, employees are expected to comply with the firm’s most current workplace model, which as of October 1, 2025, includes spending at least four full days each week working in an Invesco office. This reflects our belief that spending time together in the office helps us build stronger relationships, collaborate more easily, and support each other’s growth and development. The above information on this description has been designed to indicate the general nature and level of work performed by employees within this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The job holder may be required to perform other duties as deemed appropriate by their manager from time to time. Invesco's culture of inclusivity and its commitment to diversity in the workplace are demonstrated through our people practices. We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender, gender identity, sexual orientation, marital status, national origin, citizenship status, disability, age, or veteran status. Our equal opportunity employment efforts comply with all applicable U.S. state and federal laws governing non-discrimination in employment.

Req ID: 367971 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a ETL DataStage Developer - REMOTE to join our team in Toronto, Ontario (CA-ON), Canada (CA). Day to Day Responsibilities: - Perform Data analysis, collect business requirements and identify business rules; - Analyze, develop and support Data Integration, EDW and Data Management using Data Stage, Teradata, SQL, Autosys, Oracle etc. platforms and tools - Collaborate with data modelling team to define data integration logic - Create data mapping necessary to fulfill the requirements - Build and test new ETL programs to fulfill the service requests - Automate the ETL processes and pipelines using scripting and Autosys; - Participate in Unit Testing, assist QA team in Integration Testing, and support Business team for UAT. - Participate in code deployment and coordinate with different infrastructure teams during go-live, post-production, and continued support of end product. - Estimate the time and resources needed for implementing the service requests - Participate in technology governance groups that defines policies, best practices and make design decisions in on-going projects - Mentor junior developers regarding best practices and technology stacks used to build the application - Debug data quality issues by analyzing the upstream sources and provide guidance to data integration team resolutions - Work closely work with DBAs to fix performance bottlenecks Minimum Requirements: - 8+ total years experience in data integration (ETL) - 5 years solution development using DataStage suite - 5 years of experience in RDBMS / Data Warehousing platforms, preferably Teradata Desired Skills: - Python scripting to introduce automation as part of solution delivery - Recent experience and clear responsibilities in a ETL / Extracts / Data Engineering lead developer capacity - Certifications in ETL and Data Warehouse platforms - Strong SQL knowledge and ability to write most complex queries - Conceptual understanding of logical and physical data model is a must, and a working experience is a plus - Ability to develop and maintain data integration/ETL specifications that states integration rules and mappings - Domain experience in Healthcare - Data profiling and implementation of automated solutions for data quality checks - Databricks certifications #LI-NorthAmerica About NTT DATA NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D. Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us. NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.