Quantitative Research and Development Senior Analyst

Are you ready to make an impact at DTCC?  

Do you want to work on innovative projects, collaborate with a dynamic and supportive team, and receive investment in your professional development? At DTCC, we are at the forefront of innovation in the financial markets.  We're committed to helping our employees grow and succeed. We believe that you have the skills and drive to make a real impact.  We foster a thriving internal community and are committed to creating a workplace that looks like the world that we serve.

Pay and Benefits:

• Competitive compensation, including base pay and annual incentive
• Comprehensive health and life insurance and well-being benefits, based on location
• Pension / Retirement benefits 
• Paid Time Off and Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.
• DTCC offers a flexible/hybrid model of 3 days onsite and 2 days remote (onsite Tuesdays, Wednesdays and a third day unique to each team or employee). 

The impact you will have in this role:

As a member of the Business Management – DataPro team within the Chief Client Office, the Quantitative Research and Development Senior Analyst will support the team’s director and work with data professionals through the quantitative research life cycle from the from data discovery to model development and maintenance for a portfolio of sophisticated analytical data products. 

Your Primary Responsibilities:

• Conduct data product research
• Contribute to the design & development of the data research workbench and fixed income factor models.
• Work on the risk and alpha factor research using the research workbench
• Help data stewards, data wranglers and data science professionals through the quantitative research life cycle from data discovery to model development and maintenance for a portfolio of sophisticated analytical data products
• Provide thought-leadership to internal and external client collaborators on data science techniques and methods to address market structure / market partner sensitivities while advancing innovative approaches and method that allow for greater transparency across markets
• Collaborate with commercial product managers covering each asset class to define client use cases / needs with the goal of developing a future roadmap and portfolio of analytics data products
• Partner with information technology to research and implement the latest emerging technologies that will enable next gen of sophisticated analytics
• Lead full product life cycle using Agile frameworks
• Leverage financial markets and quantitative clients’ use case knowledge to inform and drive portfolio strategy and roadmap vision
• Coordinate with tribe, squads, partners, and internal business aligned centers of excellence to bring analytical products to market and define paths to best complete vision
• Maintain a proficiency in the quantitative research, financial engineering and data science driven environment, industry trends, and current state strengths and gaps
• Resolve quarterly objective key results that will drive product strategy forward and meet overall business objective prioritizing chances to create maximum customer and business value
• Continuously seek internal and external client feedback to ensure all partners are advised of what is needed to deliver a product to market and ensure innovation

Qualifications:

• 2+ years of related experience: use of equity and fixed-income factor models, risk and alpha factor research, and quantitative research and data science teams developing revenue-generating quantitative models and data analytics in financial service institution or analytics vendor providing services to front-office personas. 
• Master's degree or equivalent experience in Statistics, Physical Sciences, Finance, or Technology required
• Strong technical and programming skills in one or more high level programming languages such Python, R, Matlab etc. Knowledge of SQL required

 

Talents Needed for Success:

• Demonstrated experience working with the latest technology stack enabling advanced data science / quantitative research including as needed machine learning / AI
• Knowledge of financial markets, data models and validated quantitative methods and data requirements
• Expertise in applied statistics and quantitative modelling. Validated expertise in delivering sophisticated analytics data products to market with commercial success
• Strong ability to communicate requirements and methodologies to technical and non-technical teams and data product value-propositions to internal and exte