Senior Financial Data Engineer

About the Company

Phitopolis International Corp. is an IT company based in BGC, Taguig. We were established by a US-based Hedge Fund in 2019 to provide global 24/7 services. We engage our sponsors in the fields of Financial Quantitative Research, Data Science and Engineering, DevOps, Applications Development, and High-Performance Computing.

To support our steady march to realization, we are looking for smart, self-motivated, and hardworking individuals looking to team up with us in this endeavor, have a lot of fun doing it, and earn above the industry's average.

About the Role

Phitopolis is seeking a highly analytical and strategic Senior Financial Data Engineer to join our cutting-edge and growing team. In this role, you will utilize your problem-solving skills and sound software engineering practices to design, develop, and deploy data solutions and data pipelines while ensuring data accuracy and integrity. You will work closely with cross-functional teams, including quantitative researchers and business stakeholders, to transform complex financial market data into clear, actionable insights that guide decision-making and automated trading strategies on a global scale.

Responsibilities

• Manage and mentor a team in designing, building, and optimizing data pipelines and ETL solutions to support quantitative research and trading.
• Implement rigorous quality and validation checks to ensure the highest level of data integrity and accuracy across all financial datasets.
• Create and maintain dashboards and reporting tools that provide real-time insights into key financial and market metrics.
• Collaborate with research and business leaders to understand their data needs and translate them into actionable analytics projects and valuable datasets.
• Manage application deployment, development, data extraction, and support for data-focused products.
• Present complex analytical findings and strategic recommendations to senior leadership and stakeholders.

Qualifications

• 7+ years of experience working with Financial Market Data.
• Working knowledge of Financial Products such as Equities, FX, and associated derivatives.
• Proven experience in designing, building, and deploying software solutions and data-related software, preferably in Python.
• Knowledge of Linux, AWS, Databases (document DB and RDBMS), and Docker.
• Expertise in data investigation (Exploratory Data Analysis) and data visualization.
• Excellent communication skills, with the ability to simplify and explain complex data concepts to diverse audiences.
• Experience in Finance, Investment Banking, or Buy-Side investment data.
• A keen eye for data quality and a commitment to ensuring the correctness of dataset delivery.
• Willing to work daily at our BGC office.
• Advanced degree in Finance, Economics, Data Science, Computer Science, or a related field.
• Strong knowledge of object-oriented concepts, data structures, and algorithms.
• Background in advanced spreadsheet formulas and/or data visualization tools.
• Experience with predictive analytics, machine learning techniques, and financial modeling.

Technical Skills and Relevant Technologies

• Expert-level proficiency in Python and advanced data analysis libraries.
• Extensive experience in financial modeling and analysis tools.
• Deep expertise in Linux, AWS, Docker, and various databases (e.g., document DB, RDBMS).

Soft Skills and Cultural Fit

• Strong analytical mindset with a passion for using data to drive business strategy.
• Proactive problem-solver who thrives in a fast-paced, team-based environment.
• Exceptional attention to detail and a steadfast commitment to data accuracy.
• Proven ability to work collaboratively across teams and influence stakeholders at all levels, with experience in managing and mentoring teams.
• Ability to communicate complex information clearly in verbal and written English.
• A willingness to continuously learn new technologies and expand knowledge of the business domain.

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