Research and Development Associate jobs in Bayonne, NJ

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

Your Primary Responsibilities:

• 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 clarity 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 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
• 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

Qualifications:

• 10 years of the following experience required: building research platforms, factor model research, risk and alpha factor research 
• 5 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.
• Master’s degree or Ph.D. in Statistics, Physical Sciences, Finance, or Technology required

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 understanding of quantitative and fundamental investment approaches
• Familiarity with market data products and 3rd party software analytics services targeting front-office personas
• Knowledge of asset management, capital markets and portfolio risk management
• 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 analytics data products to market with commercial success
• Deep intellectual curiosity about financial markets, emerging technologies, and data science
• Experience in Agile Development, with Product Management (or similar) experience
• Demonstrated exceptional conceptual and analytical skills with ability to identify, analyze, evaluate product innovation alternatives
• Ability to do multiple projects simultaneously and meet deadlines, self-motivated and inspires others to be the same, work comfortably in a fast-paced environment and within group settings, have an ability to think creatively and strategically and have an ability to stay calm under stress and uncertainty
• Excellent executive presence and strong teammate with an ability to develop working relationships across the organization as well as externally. Must have the ability to inspire and move a team in a unified direction and with a unified vision

The salary range is indicative for roles at the same level within DTCC across all US locations. Actual salary is determined based on the role, location, individual experience, skills, and other considerations. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.