Senior Software Developer, Quantitative Solutions

This is a fully remote position, open to applicants in India.

📋 Description

• Oversee the design and creation of quantitative data engineering models, which encompass algorithms, data pipelines, and data processing systems.

• Develop and sustain pipelines to ingest, cleanse, transform, and aggregate substantial volumes of data.

• Create and execute algorithms for data analysis, machine learning, and statistical modeling.

• Enhance data processing and modeling algorithms for improved performance, scalability, and efficient resource usage.

• Generate visualizations for data and model outputs to effectively communicate with stakeholders.

• Establish data quality checks and validation procedures.

• Assess model performance through metrics and validation techniques, refining processes to boost accuracy and effectiveness.

• Work collaboratively with data scientists, analysts, and business stakeholders to comprehend requirements and deliver actionable insights.

• Maintain thorough documentation of model design, implementation, evaluation, assumptions, methodologies, and outcomes.

• Keep abreast of trends, tools, and technologies within the realms of quantitative data engineering and data science.

⛳️ Requirements

• Solid foundation in data engineering principles, including data ingestion, processing, transformation, and storage, utilizing tools and frameworks like Apache Spark, Apache Flink, or AWS Glue.

• Expertise in quantitative analysis methods, encompassing statistical modeling, machine learning, and data mining techniques.

• Proven experience in implementing algorithms for regression analysis, clustering, classification, and predictive modeling.

• Proficient in programming languages such as Python, R, Java, or Scala.

• Familiarity with SQL for data querying and manipulation tasks.

• Knowledge of Hadoop, Apache Kafka, Apache Hive, or AWS EMR.

• Experience using visualization tools like Matplotlib, Seaborn, or Tableau.

• Basic understanding of PyTorch.

• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform.

• Strong software development capabilities, including knowledge of software design patterns, Git, and software testing frameworks.

• Excellent problem-solving, communication, and collaboration abilities.

• Domain expertise in finance, healthcare, or marketing sectors.

• Dedication to continuous learning and staying current with advancements in data engineering, quantitative analysis, and machine learning technologies.

🏝️ Benefits

• 21 days of Annual Vacation

• 8 sick days

• 6 casual days

• 1 paid Volunteer Day

• Medical, Accidental & Term Life Insurance

• Telehealth, OPD services

• Competitive salary

• Annual Performance Bonus