Job
Description
We are Allvue Systems, the leading provider of software solutions for the Private Capital and Credit markets. Whether a client wants an end-to-end technology suite, or independently focused modules, Allvue helps eliminate the boundaries between systems, information, and people. We re looking for ambitious, smart, and creative individuals to join our team and help our clients achieve their goals. Working at Allvue Systems means working with pioneers in the fintech industry. Our efforts are powered by innovative thinking and a desire to build adaptable financial software solutions that help our clients achieve even more. With our common goals of growth and innovation, whether you re collaborating on a cutting-edge project or connecting over shared interests at an office happy hour, the passion is contagious. We want all of our team members to be open, accessible, curious and always learning. As a team, we take initiative, own outcomes, and have passion for what we do. With these pillars at the center of what we do, we strive for continuous improvement, excellent partnership and exceptional results. Come be a part of the team that s revolutionizing the alternative investment industry. Define your own future with Allvue Systems! Strategic Leadership Define and execute the data science roadmap aligned with Allvue Systems business objectives. Partner with executive leadership to identify opportunities for leveraging data science to drive innovation and competitive advantage across the company. Foster a culture of data-driven decision-making across the organization. Effectively communicate complex data insights and recommendations to both technical and non-technical audiences, including senior leadership. Team Management Lead, mentor, and grow a high-performing team of data scientists & Analysts Promote collaboration, innovation, and professional development within the team. Manage the data science teams budget effectively, prioritizing investments in key areas. Cross-Functional Collaboration Work closely with product, Engineering, and other teams to identify data science opportunities and deliver impactful solutions. Collaborate with machine learning and core engineering teams to integrate data science models into production systems. Business Impact Enable the team to develop and deploy predictive models, machine learning algorithms, and AI-driven solutions to optimize content recommendations, personalization, and the different revenue lines. Leverage natural language processing (NLP) and LLMs (Large Language Models) to analyze and derive insights from multimodal content to power recommendations and personalization as well as smarter financial decisions. Build algorithms to measure and improve content performance, audience engagement, and subscription growth. Data Governance & Innovation Collaborate with machine learning engineering, data engineering and IT teams to ensure the integrity, accuracy, and security of data used for analysis and modelling. Champion a culture of experimentation and A/B testing, driving the development of new data products and features. Stay at the forefront of data science trends and technologies, exploring new tools and methodologies to enhance Allvue Systems capabilities. 17+ years of overall experience, with 8+ years in leading large-scale data science projects and teams. Proven track record of delivering impactful AI/ML solutions in a Finance domain. Excellent communication, presentation, and interpersonal skills. Exceptional ability in simplifying complex concepts and effectively influencing senior executive stakeholders. Expertise in aligning technology initiatives with business goals, with a hands-on approach to execution. Deep understanding of ML/AI and statistical modelling. Hands-on expertise in predictive modelling, recommendation systems, (Gen) AI, and NLP. Experience with cloud computing platforms (AWS, GCP, or Azure) and big data technologies (e.g. Spark). Fluent in Python, SQL, and ML frameworks like TensorFlow, PyTorch, or scikit-learn.
