Softcard (acquired by Google)

Software Engineer

• Design, develop, and maintain robust ETL/ELT pipelines using modern data platform tools
• Build and optimize data models within Microsoft Fabric and related Azure services
• Develop and maintain complex SQL queries, stored procedures, and performance-tuned database solutions
• Create and maintain semantic models and business logic using DAX
• Develop data processing and automation solutions using Python (preferred)
• Collaborate with business stakeholders, analysts, and data consumers to translate requirements into technical solutions
• Implement and maintain CI/CD pipelines for data solutions
• Apply DevOps best practices to ensure code quality, version control, testing, and deployment automation
• Monitor, troubleshoot, and optimize data pipelines and reporting performance
• Ensure data quality, governance, and security standards are met
• Participate in architectural discussions and contribute to data strategy initiatives

BI Entwickler

Operations

• Act as the central operational point of contact for institutional clients
• Partner with Sales and Relationship Managers to support client servicing and onboarding
• Lead and monitor client onboarding and transitions, ensuring timely execution
• Liaise across Trading, Legal, Compliance, Investments, Trust, and Operations
• Resolve daily client inquiries and complex operational issues; escalate risks as needed
• Ensure delivery against client SLAs and KPIs; track, log, and escalate issues
• Identify process improvements, automation opportunities, and operational risk reductions
• Provide regular updates to the Head of Client Operations
• Stay current on market and regulatory developments affecting client serving
• Drive continuous improvement, standardization, and scalability initiatives
• Partner with technology and operations teams to implement automation and data solutions
• Champion a culture of accountability, innovation, and operational excellence

Client Operations Manager

Sales

• Drive growth of U.S. money market fund assets through direct engagement with corporate treasurers, finance leaders, institutional investors, and public sector clients.
• Increase market share and brand visibility within the U.S. institutional liquidity marketplace.
• Integrate Global Liquidity priorities with the firm’s national institutional distribution strategy.
• Partner with Global Portfolio Managers to communicate market conditions, client insights, and evolving product needs.
• Build and maintain senior-level relationships across treasury, finance, and investment organizations.
• Represent the firm through client presentations and participation in U.S. industry conferences, treasury events, and client forums.
• Collaborate with product, legal, marketing, operations, and compliance teams to support effective business execution and client outcomes.
• Leverage data, analytics, and CRM discipline to prioritize high-value opportunities, ensure accurate activity tracking, and support future growth.

MD Global Liquidity Direct Sales

Manager

• Own, document, and update the Change Management policy for GPC Asia Pacific
• Conduct weekly Change Advisory Board (CAB) meetings
• Guide staff on the process of Change Management and the use of the ServiceNow ITSM tool
• Lead and coordinate high priority incidents across Asia Pacific
• Conduct Post Incident Review (PIR) sessions
• Track, update, and prioritise Problem records in the ITSM tool

Change, High Priority Incident and Problem Manager

Financial Planning and Analysis

• Own the Vision technical roadmap : set architectural direction, prioritize platform investments, and align with business outcomes in Asset Allocation, Custom Equities/Indexes, Global & Quant Strategies.
• Lead a high‑performing engineering team : hire, mentor, and manage engineers; establish clear goals; ensure reliable, predictable delivery.
• AI‑accelerated engineering : institutionalize daily use of AI tools (e.g., GitHub Copilot, Claude, ChatGPT, AWS Bedrock) for coding, tests, documentation, and prototyping; set review standards for AI‑generated code.
• API & data platform leadership : own domain services, API design & caching, and high‑scale ETL (e.g., Morningstar, MSCI ESG, Aladdin, Bloomberg, RIMES) with strong SLAs, observability, and governance.
• Quality & reliability : raise the bar on unit/integration testing , CI/CD, rollout/rollback patterns, SLOs, on‑call hygiene, and incident postmortems.
• Cloud cost & performance (FinOps) : drive right‑sizing, archiving, workload scheduling, and cost observability to continuously reduce $/feature.
• Security & compliance : ensure platform and AI usage adhere to enterprise security, privacy, and model‑risk standards.
• Stakeholder partnership : collaborate with investment professionals, research, data, and product to translate business intent into technical outcomes.
• SRE collaboration : partner with the SRE Manager on reliability, infra automation, and uniform standards across environments.
• Roadmap transparency : maintain a clear backlog, delivery plan, and communication cadence to business partners and leadership.

Senior Manager, Investments Technology

Data Analyst

• 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

Quantitative Analyst, Portfolio Engineering – Analytics

Product Manager

• The Product Manager plays a key role within Invesco’s Model Portfolio business, responsible for the ownership of internal reporting and content creation.
• Act as a subject matter expert with respect to the set of investment strategies the team represents.
• Drive research related to product/competitive trends.
• Act as a business manager for their strategies liaising with legal, compliance, marketing and other departments to help with content and other potential issues.
• Produce accurate and timely content while demonstrating the ability to think outside of the box regarding marketing of the products.
• Be nimble and re-focus quickly as business needs evolve.
• Act as an extension of the portfolio management team, providing credible information and perspective for both fundamental and macro-economic factors affecting your respective asset class.
• Develop subject matter expertise regarding offerings as well as key investment strategy, team and approach messaging.

Product Manager, Model Portfolios

Full-stack Engineer

• Design, develop, test, deploy and maintain highly performant API-driven web applications on our stack (Adobe Experience manager, FE, Java, SpringBoot).
• Work with our product managers to properly prioritize our new feature development, feature iteration and ongoing maintenance and support
• Interact with engineering members across the organization to ensure consistency in engineering practices and foster active exchange of ideas
• Active participating in agile ceremonies to allow us to prioritize the right work and improve velocity (e.g. daily standup, release and sprint planning, demos, scrum of scrums).

Junior Full Stack Engineer, Digital Distribution & Entertainment Engineering

Outside Sales

• Drive growth of company-owned NAPA Auto Parts stores, customer base, sales and profits
• Promote the entire line of NAPA products and programs to Wholesale Customers
• Work with local Store Manager to develop plans to increase sales and proactively initiate, contact, manage and develop leads on a local basis
• Identify specific needs of customers and align solutions with NAPA's offerings
• Engage customers and keep them connected through all of NAPA's eSales programs
• Perform educational seminars, clinics and presentations on NAPA product lines and services
• Maintain customer satisfaction and provide strong customer service including solving customer problems, complaints and questions in person or by telephone

Outside Sales Professional

Account Manager

• Increases revenue and profitability through generation of new business and further development of existing accounts.
• Generates new leads by networking, cold calling, researching various directories and internet sites.
• Routinely interacts face-to-face with customers to foster strong relationships and maintains satisfaction.
• Delivers effective sales presentations and ensures technical requirements are met.
• Assists with on-site troubleshooting of customers' concerns.

Account Representative I

Supply Chain

• Support the Director Inventory Controls with adding value to the Finance Department and the company as they drive excellence in the monthly inventory reconciliation process.
• Create inventory reconciliation events as needed to meet control requirements and established business practices.
• Execute the review and reconciliation of the physical inventory records and inventory ledger on a monthly schedule, and additionally as needed.
• Compile inventory reconciliation results and investigate any material variance between the ledger and physical inventory.
• Routinely communicate reconciliation results to key NAPA Finance and Supply Chain partners.

Inventory Control Analyst

Director

• Acting as the technical architect for cloud-based investment technology solutions, with a focus on ETF-related platforms and workflows
• Designing scalable, secure, and resilient architectures across cloud, data, and application layers
• Directing and mentoring development teams, setting technical direction, standards, and best practices
• Translating investment and product requirements into well-architected technical solutions
• Partnering with product, investment, and operations stakeholders to align technology with business outcomes
• Leading the adoption of AI-driven capabilities (e.g., automation, analytics, decision support) within production systems
• Ensuring solutions meet internal controls, security, and regulatory requirements typical of financial services
• Contributing to technology roadmaps and architectural standards within the broader Investment Technology organization

Associate Director

Analyst

• Understand business and data needs across the organization with a focus on Distribution and Marketing, including our internal Sales teams, external Sales teams, Sales Management teams, Marketing teams, Client Servicing team and Operations teams
• Analyze and deliver data requirements, including data sourcing research, data mapping across multiple upstream and downstream systems, data validation requirements, and data services requirements
• Work closely with Data Management team to implement governance and policy around client data
• Build trust and respect, establish relationships, and develop rapport with the business stakeholders and development team(s)
• Collaborate with business partners and development team(s) to collect information and perform research and analysis in support of large-scale strategic projects.
• Work in cross functional teams and deliver requirements, perform data analysis, recommend process design/improvements, functional design, information architecture & design.
• Partner with development team(s) to build out prototypes based on user validation
• Prepare for and support user acceptance testing
• Prepare all necessary documentation and processes to enable ongoing support of the systems.
• Communicate with peers clear, user-friendly terminology (emails, phone, meetings).

Analyst, Investment Technology

Crypto

• Centrally manage the global Digital Assets (DA) product pipeline across asset classes and client channels, including future‑year planning to support annual strategy
• Develop and own management reporting, KPIs, and weekly status materials (e.g., product pipeline, financials) aligned to DA business strategy
• Prepare, manage, and present materials for Fund Boards, governance forums, and executive/management committees
• Coordinate agendas, content, and governance materials for DA forums, monthly global meetings, and partnership initiatives
• Lead internal communications on behalf of the DA team, including executive‑level business communications
• Partner with Marketing, Distribution, Product, and Client Portfolio Management to support cross‑functional initiatives globally
• Provide organizational support and oversight for Digital Assets (DA) functions, including project management and tracking, business continuity, process design and improvement, portfolio manager transition management, regional input into organizational goals, and execution of town halls (run of show, talking points, and materials)
• Oversee operational, financial, and governance aspects of DA initiatives, including seed/co‑investment capital, pricing exceptions, fee holidays, and revenue‑sharing impacts
• Support business cases, operational integrations, and ad‑hoc cross‑functional projects to drive DA priorities.

Digital Assets Business Manager

• Lead and oversee investigations into internal and external theft, fraud, and other criminal activities
• Collaborate with store teams, law enforcement, and legal departments to ensure proper resolution of theft cases
• Utilize investigative tools and techniques, such as CCTV, exception reporting systems, and interviews, to identify and resolve theft-related incidents
• Maintain detailed documentation of all investigations, ensuring compliance with company policies and legal requirements
• Provide training and guidance to store teams on theft prevention strategies and awareness
• Conduct regular safety audits and risk assessments across locations in the region to identify potential hazards and ensure compliance with safety and operational standards
• Partner with store leadership and operations teams to implement corrective actions to mitigate risks and improve safety
• Ensure compliance with OSHA regulations and company safety policies, promoting a culture of safety awareness
• Investigate workplace accidents and incidents to determine root causes and recommend preventative measures
• Identify vulnerabilities in operational processes and recommend improvements to reduce risk and shrink
• Monitor compliance with cash handling, inventory control, and other operational standards
• Provide actionable insights and reports to senior leadership on audit findings and trends
• Serve as a trusted advisor to store managers and regional leadership on asset protection matters
• Provide coaching and training to store teams on asset protection best practices, safety protocols, and risk mitigation strategies
• Build strong relationships with law enforcement, external vendors, and other stakeholders to enhance asset protection efforts
• Analyze shrink data, theft trends, and safety metrics to identify patterns and develop targeted action plans
• Prepare and present reports on asset protection performance, investigations, and safety compliance to senior leadership
• Leverage data to prioritize high-risk locations and allocate resources effectively