Data Analytics Associate

Are you ready to make an impact at DTCC

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:

The Development family is responsible for creating, designing, deploying, and supporting applications, programs, and software solutions. May include research, new development, prototyping, modification, reuse, re-engineering, maintenance, or any other activities related to software products used internally or externally on product platforms supported by the firm. The software development process requires in-depth subject matter expertise in existing and emerging development methodologies, tools, and programming languages. The quant engineer will drive the development and implementation of quantitative models and algorithms that are critical for informed decision-making and risk management. Their work involves building efficiency, reliability, and security of financial systems by enabling rapid adaptation to evolving market conditions and new data insights, proposing and recommending solutions that solve complex business problems.

Your Primary Responsibilities:

• Extracting, cleaning, and transforming financial data from various sources.
• Developing data pipelines for efficient data acquisition and processing.
• Performing statistical analysis and machine learning to extract insights from data.
• Developing and implementing quantitative models and algorithms using programming languages like Python.
• Translating theoretical models from quantitative researchers into practical, executable code.
• Building and maintaining the infrastructure to support model development, including APIs and data pipelines.
• Conducting thorough back testing and validation of models to ensure accuracy and reliability.
• Optimizing model performance for speed and efficiency, and adaptability to changing market conditions and new data insights.
• Working closely with quantitative analysts, and other IT teams to understand requirements and integrate models into IT systems.
• Effectively communicating technical information and model performance results to various stakeholders.

Qualifications:

• Minimum of 2 years of related experience
• Bachelor's degree preferred or equivalent experience
• Strong proficiency in programming languages like Python, R

Talents Needed for Success:

• Data analytical skills to analyze large datasets, identify patterns, trends, and anomalies that can inform model development and decision-making.
• Understanding of capital markets, instruments and financial risk
• Knowledge of statistical modeling, machine learning, and mathematical finance is necessary.
• Good communication and collaboration skills to work effectively with diverse teams and to communicate their findings and model behavior to both technical and non-technical stakeholders.

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.

IT Architecture and Enterprise Services are responsible for enabling digital transformation of DTCC. The group manages complexity of the technology landscape within DTCC and enhances agility, robustness and security of the technology footprint. It does so by serving as the focal point for all technology architectural activities in the organization as well as engineering a portfolio of foundational technology assets to enable our digital transformation.