Top Tech Jobs & Startup Jobs

Lead and execute accounting projects for Retail Bank Agile Controllers: plan, manage, and deliver project plans; identify and remediate risks; present findings to leadership; apply accounting, data, and technology concepts; coach and develop team members; drive process improvements and facilitate Agile methodology across stakeholders.

Conduct daily trade surveillance and deep-dive investigations across Broker-Dealer and Swap Dealer businesses to detect market abuse (spoofing, wash trading, layering, front-running). Tune and test surveillance logic, reconcile data feeds, support UAT, maintain audit-ready documentation, produce metrics, and support regulatory inquiries and audits while collaborating with Compliance, Product, Technology, Risk, and business teams.

Lead the EASE Customer Experience design team to define strategy and deliver foundational web and mobile journeys. Own cross-functional collaboration, mentor designers, drive design systems, prototypes, research integration, and align design outcomes to business objectives and technical constraints.

Lead design, development, deployment, and support of large-scale AI systems (foundation model training, LLM inference, similarity search, guardrails, evaluation, governance, observability). Partner cross-functionally, invent LLM optimization techniques, and contribute to technical vision and roadmap for foundational AI infrastructure.

Lead multiple product-focused engineering teams to design, build, deploy, and modernize risk-management software using full-stack technologies, microservices, AWS, Big Data, and ML; mentor engineers, improve engineering practices, and drive migration from monoliths to scalable services.

Design, train, evaluate, and productionize machine learning models (including embeddings and foundation models) on large-scale data. Partner with product and engineering to run experiments, improve customer experiences, and deploy scalable solutions using Spark and AWS.

Lead an analytics team to drive strategy for Accounts Payable and Expense Management. Translate customer, product, and financial data into insights, models, and experiments to inform product, pricing, marketing, and credit risk decisions. Partner cross-functionally to deliver business requirements, manage projects, mentor analysts, and measure impact to grow profitability and customer outcomes.

Lead operational governance for FPDS data pipelines: monitor 24/7 pipeline health and SLAs, manage incidents and stakeholder communications, drive GL reconciliations and audit compliance, partner with engineering to remediate defects, maintain data quality controls and provisioning agreements, and modernize operational frameworks to improve effectiveness.

Lead a team to deliver AI powered products, leveraging machine learning and NLP for customer applications, while collaborating with cross-functional teams.

The Senior Manager of Data Analysis will manage validation projects, assess analytical tool risks, and mentor junior staff while collaborating cross-functionally and enhancing analytical capabilities.