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Concord Advice is a dynamic fintech company headquartered in the NYC area, specializing in delivering cutting-edge analytical and technical solutions for financial organizations. We design and implement innovative technology solutions, including CRM platforms, underwriting engines, auction-based online lead bidding systems, omni-channel customer engagement strategies, payment technologies, and bank integration services. Our strategic investments in cloud infrastructure and MLOps pipelines enable us to leverage state-of-the-art language AI—from large-language-model (LLM) agents and retrieval-augmented generation to proven NLP capabilities such as named-entity recognition, intent detection, and sentiment analysis—to create intelligent, real-time, and automated customer experiences. As a fast-growing, entrepreneurial, and collaborative firm, Concord Advice provides an immersive, hands-on environment where innovation meets business impact. Our team thrives in a dynamic, unstructured setting that demands creativity, analytical thinking, and cross-functional collaboration. If you’re a problem-solver who embraces ambiguity and enjoys tackling challenges, join us in shaping the future of fintech!
Job Responsibility:
Thrive in an unstructured environment and enjoy tackling complex, ambiguous problems
Have a consultative mindset to break down challenges into root causes, develop structured analysis plans, and identify the necessary data to drive insights
Collaborate as a member of the analytic team, with senior management and IT team to design models, perform data mining, and conduct statistical research
Enhance automation in machine learning, programming, and business operations
Build, test, and monitor various machine learning models
Work with Azure cloud computing and MLOps pipeline to create end-to-end automated machine learning
Identify opportunities in data to drive company strategy, products, and solutions
Participate in the development of data infrastructure, data governance, and various business intelligence tools and products
Requirements:
BA/MS in business related fields with a focus on machine learning
Demonstration of quantitative aptitude in mathematics, statistics or computer science
Facile with using various machine learning and statistical Python/R Packages, along with database and reporting tool
Familiar with foundational concepts of varies advanced ML algorithms
Outstanding communication skills (both technical and non-technical) and proven ability to work effectively with multiple stakeholders across a variety of business units
Self-motivated, vocal, and proactive, with demonstrated creative and critical thinking capabilities