Financial Markets Data Science Guru

About us.

Trumid is a dynamic fintech revolutionizing the landscape of fixed income trading. With intelligent, easy-to-use, electronic solutions, we are rapidly growing and seeking exceptional talent to help redefine the boundaries of technology and finance.
Founded in 2014 by a team of fixed income market experts, Trumid has quickly become one of the top three corporate bond e-trading platforms in the U.S. Today, over 1,300 traders from an extensive and expanding client network of 890+ buy-and sell-side institutions transact on Trumid monthly.
With a rich history of innovation and a unique ability to innovate at scale, we collaborate closely with our clients, iterating quickly toward optimal solutions. With market share and client engagement at all-time highs and our pace of product development faster than ever, this is an exciting and transformative time at Trumid.
Our business model thrives on participation, and so does our company culture. We rely on every team member's contribution to help us accomplish our goals. To succeed at Trumid, you must be curious, passionate about your craft, ambitious, collaborative, and driven.
Learn more at www.trumid.com.

Trumid's Data and AI Team is Hiring Exceptional Technical Talent

At Trumid, we're revolutionizing the landscape of fixed income trading with intelligent, easy-to-use automated trading solutions. We foster an environment where innovation flourishes and solutions can be born from the melding of diverse ideas. We're growing fast and seeking exceptional talent to join our Data and AI team. We are looking for people with diverse skill sets and backgrounds to collaborate together as software engineers, machine learning experts and quantitative researchers. If you're driven by a passion to redefine the boundaries of technology and finance, we're eager to hear from you.

We Are Looking For:

• Adaptable Learners: Your technical depth and intellectual humility are paramount, regardless of your background in industry, academia, or elsewhere. Prior experience in finance is not a prerequisite.
• Collaborators: Embracing our culture of collaboration over hierarchy, you'll work closely with colleagues from various departments, united by a shared vision and free from the constraints of reporting lines.
• Innovators: You possess a profound mathematical fluency, crafting elegant algorithms with both effectiveness and creativity.
• Software Savants: Skilled in crafting high-quality Python code and adept at research, you approach problems with a blend of logic, mathematical thinking and creative inquiry.
• Clear and Open Communicators: Excelling in articulating complex ideas, you thrive in a diverse, collaborative environment.
• Entrepreneurial Thinkers: You are excited by the idea of tackling greenfield projects and shepherding ideas from the whiteboard through R&D and release.

Financial Markets Data Science Guru

We are seeking an experienced data science practitioner to work in partnership with our execution sales team, overseeing strategic initiatives that enhance our electronic credit trading platform. This role is designed for a seasoned professional who is familiar with quantitative finance, and possesses a robust background in machine learning and data science.

The problems you will work on will rarely have clean, definitive answers, and they will require working with people across the firm with different areas of expertise. Your success in this role will depend on your ability to balance expertise and intellectual rigor with an open mind to a variety of techniques and modes of thinking. You will work alongside experienced traders and product managers day in and day out in our efforts to design new ways to service the credit markets.

This role will require that you develop and defend your own opinions about the topics you're asked to investigate and place you in the room where key strategy decisions are being debated. This offers you the chance to collaborate with the top minds in fixed income to make a meaningful impact on a company leading the way towards the future of intelligent electronic credit trading.

Responsibilities:

• Strategic Leadership: Assist the quantitative research team in developing and implementing advanced models and analytics that influence trading strategies and decision-making processes.
• Innovation in Quantitative Methods: Spearhead the development of proprietary algorithms and machine learning models that enhance market prediction accuracy and trading efficiency.
• Cross-functional Collaboration: Partner with Product, Data, and Engineering teams to craft and refine tools that advance trading capabilities. Influence product development and strategic direction through data-driven insights and analytics.
• Advanced Analytics: Lead the validation and creation of security-level analytics for corporate bonds.
• Team Development: Mentor and develop a team, fostering a culture of innovation and rigorous analytical assessment.

Must-Have Qualifications and Skills:

• Expertise in Markets: Deep knowledge and substantial experience in capital markets, with a track record of leveraging market insights to drive decisions.
• Leadership and Communication: Proven ability to lead a team, influence cross-functional initiatives, and articulate complex quantitative concepts to non-experts.
• Extensive Quantitative Experience: 8-15 years in a quantitatively-focused role within a financial institution or technology firm.
• Educational Foundation: Degree in a quantitative discipline.

Nice-To-Have Qualifications and Skills:

• Experience training and deploying machine learning models.
• Experience with cloud data warehouses.
• Experience with batch ETL frameworks.
• Experience with distributed compute frameworks. 

Trumid is an equal opportunity employer.

In compliance with New York City Pay Transparency Law, the base salary range for this role in New York City is between $200,000 and $250,000. This range does not include discretionary bonus or other forms of compensation or benefits offered in connection with this job. Several factors are considered when determining a candidate's compensation.