Quantitative Research and Development Associate Director

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 Director will lead data professionals through the quantitative research life cycle from data discovery to model development and maintenance for a portfolio of sophisticated analytical data products. The director will lead the design & development of the data research workbench, and equity and fixed income factor model. In addition, with a team of data stewards, data wranglers and data science professionals, the incumbent will lead data product research through the quantitative research life cycle from data discovery to model development and maintenance for a portfolio of sophisticated analytical data products. 

Your Primary Responsibilities:

• Lead the design & development of data research workbench and development of equity and fixed income factor models
• Lead risk and alpha factor research using the research workbench
• Lead (data) product research and client specified (customized) research
• Lead 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 visibility 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 new technologies that will enable next gen of 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 complete vision
• Maintain a proficiency in the quantitative research, financial engineering and data science driven environment, industry trends, and current state strengths and gaps
• Determine 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
• Mitigates risk by following established procedures and monitoring controls, spotting key errors and demonstrating strong ethical behavior.

Qualifications:

• 8+ years of the following experience required: building research platforms, factor model research, risk and alpha factor research
• 3+ years of Leading quantitative research and data science teams responsible for developing revenue-generating quantitative models and high-impact data analytics in either a financial service institution or analytics vendor providing services to front-office personas. 
• Bachelor's degree preferred or equivalent experience

Talents Needed for Success:

• Strong technical and programming skills in one or more high level programming languages such Python, R, Matlab etc. Knowledge of SQL 
• A good understanding of analytical approach and understan