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    Job · 19909648

    HYDERABAD · FULLTIME

    Data Science Associate

    Dtcc logo

    Dtcc

    Hyderabad · onsite · Posted 21d ago

    Sourced fromFoundit
    Not disclosed2–4 yrsfulltimeHyderabad

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    Section · 01

    About this role

    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 are 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.

    The Information Technology group delivers secure, reliable technology solutions that enable DTCC to be the trusted infrastructure of the global capital markets. The team delivers high-quality information through activities that include development of essential, building infrastructure capabilities to meet client needs and implementing data standards and governance.

    The Impact You Will Have In This Role

    The Quantitative Associate is responsible for 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.

    Sourced from foundit

    Section · 02

    Skills

    apisstatistical modelingrPythonData PipelineMachine Learning

    Section · Company

    About DTCC

    Dtcc logo

    Dtcc

    Financial Services

    619

    employees

    1999

    27 years old

    New York

    United States

    About

    DTCC advances fintech solutions that help grow the financial market infrastructure and protect the security of the global financial system.

    Industries

    Financial Services

    Employee ratings

    113 reviews

    3.7/ 5

    Culture

    3.8

    Career growth

    3.1

    Work-life

    3.8

    Employees rate it well for

    Work Life Balance29Work Culture15Senior Management9Job Security9Working Hours/shift9

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