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.
Scope and 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 on 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.
