
Millennium
We are seeking an experienced and dynamic leader to join our Treasury organization. This individual will oversee a team of 5 – 10 professionals responsible for delivering innovative quantitative and IT solutions across Treasury functions, including equity financing, data analysis, workflow optimization, and reporting. The role requires a strong blend of technical expertise, quantitative modeling skills, and leadership capabilities to drive strategic initiatives and ensure operational excellence.
Key Responsibilities:
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Team Leadership:
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Lead, mentor, and manage a team of quantitative analysts, developers and data specialists.
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Foster a culture of innovation, collaboration, and continuous improvement within the team.
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Provide strategic direction and guidance to ensure team members achieve individual and collective goals.
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Strategic Delivery:
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Define and execute the roadmap for IT and quantitative solutions across Treasury functions, ensuring alignment with organizational objectives.
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Collaborate with Treasury stakeholders to identify key business challenges and translate them into actionable technical and quantitative solutions.
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Oversee the development and deployment of data-driven models, automated reporting tools, and optimization frameworks to improve operational efficiency and decision-making.
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Cross-Functional Collaboration:
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Act as a key liaison between Treasury, Technology, Operations, and other teams to ensure seamless integration of solutions into the firm’s infrastructure.
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Partner with equity financing desks and other Treasury teams to manage mandates related to portfolio optimization, financing allocation, and cost efficiency.
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Technical Oversight:
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Drive the design, prototyping, and productionizing of IT tools and quantitative models, ensuring adherence to best practices in software development and data analysis.
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Ensure the team delivers high-quality solutions leveraging technologies such as Python, C#/.NET, Angular, SQL, and enterprise databases.
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Oversee the development of statistical models for counterparty analysis, financing cost optimization, and portfolio allocation strategies.
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Documentation and Reporting:
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Ensure formal documentation of all models, tools, processes, and workflows developed by the team.
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Provide regular updates to senior management on project progress, key deliverables, and team performance.
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Qualifications/Skills Required:
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Education:
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Bachelor’s degree in a quantitative discipline (e.g., Engineering, Statistics, Mathematics, Physics, Computer Science) or a related field.
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Advanced degree (master’s or Ph.D.) preferred.
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Experience:
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9+ years of experience in technology, quantitative modeling, or data analytics roles, with at least 3 years in a leadership or management capacity.
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Proven track record of delivering IT solutions and quantitative models in a fast-paced, dynamic environment.
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Experience working in Treasury, FinTech, or financial services, with familiarity in equity financing, cash & collateral management, or capital markets concepts.
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Technical Skills:
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Strong programming experience in Python, C#/.NET, and Angular.
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Expertise in SQL and enterprise databases.
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Familiarity with optimization modeling, statistical frameworks, and linear programming concepts.
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Knowledge of continuous delivery tools and Agile development methodologies.
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Leadership & Communication:
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Exceptional leadership skills with the ability to inspire and manage a team of highly skilled professionals.
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Strong written and verbal communication skills, with the ability to present complex ideas to technical and non-technical audiences.
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Ability to work collaboratively across functions and drive consensus among stakeholders.
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Preferred Experience:
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Prime Brokerage knowledge, particularly stock loan and multi-asset class financing strategies.
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Treasury business experience, including familiarity with cash management, margin, and equity financing workflows.
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Experience with designing and implementing SDLC processes and Agile methodologies.
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Understanding of financial products (Equity, Fixed Income, Futures, OTC, FX) and capital markets concepts.
Key Attributes:
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Strategic thinker with a hands-on approach to problem-solving and delivery.
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Self-starter with the ability to operate independently while leading a team in a fast-paced environment.
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Strong analytical mindset with a passion for leveraging technology and data to drive business outcomes.
Apply now
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