Software Developer
FetchJobs.co · India
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- Hybrid
- Full-time
- $130,000 / year
- India
Job highlights
- Build and scale data pipelines for risk management.
- Process streaming trade data from financial platforms.
- Ensure trade data accuracy and regulatory compliance.
- Develop analytics for risk exposure and P&L.
- Collaborate with traders and quant teams.
About the role
About The Company
Teamware Solutions is a leading technology consulting and staffing firm dedicated to providing innovative solutions to clients across various industries. With a strong focus on financial services, we specialize in connecting top-tier talent with organizations seeking expertise in cutting-edge technology and data-driven processes. Our commitment to excellence, integrity, and client satisfaction has established us as a trusted partner in the technology and finance sectors. We pride ourselves on fostering a dynamic and inclusive work environment that encourages professional growth and continuous learning.
About The Role
We are currently hiring for a Risk Data Pipeline Engineer to join our high-performance trading environment. This role is ideal for professionals with a background in hedge funds, high-frequency trading, or trading setups, who are looking to leverage their expertise in a challenging and rewarding setting. The Risk Data Pipeline Engineer will operate at the intersection of risk technology, data engineering, and trading systems, focusing on building and scaling data pipelines that support real-time risk management, profit and loss (P&L) calculations, and trade lifecycle processes.
The successful candidate will work on streaming and normalizing trade data from various platforms such as Bloomberg, Fidessa, and SpiderRock. They will ensure the accuracy of trade booking, facilitate reporting, and maintain regulatory compliance. Additionally, the role involves developing analytics to monitor risk exposure, optimize capital efficiency, and automate trading operations, including reconciliation and expiry management. Collaboration with quant teams and traders is essential to understand requirements and deliver effective solutions that impact trading strategies and risk management practices.
Qualifications
The ideal candidate will possess over four years of experience with Python programming within financial markets. A solid understanding of SQL and database management is essential, along with exposure to asset classes such as equities, foreign exchange (FX), credit, or rates. Candidates should have a strong grasp of post-trade workflows and real-time systems, demonstrating their ability to develop and maintain robust data pipelines that support trading activities. Prior experience working in high-frequency or quantitative trading environments is highly desirable.
Additional qualifications include a good understanding of trading protocols and data standards, with familiarity in areas like FIX protocol being advantageous. Candidates with experience in data engineering tools and languages such as pandas, R, Julia, or KDB+/q will be preferred. Strong analytical skills, attention to detail, and the ability to work effectively in a fast-paced environment are critical for success in this role.
Responsibilities
- Design, develop, and maintain scalable data pipelines to process streaming trade data from multiple sources such as Bloomberg, Fidessa, and SpiderRock.
- Ensure the accuracy and integrity of trade data, facilitating precise trade booking and reporting for risk management and compliance purposes.
- Build analytical models and dashboards to monitor risk exposure, P&L, and capital utilization in real-time.
- Automate operational workflows including trade reconciliation, expiry management, and data validation processes to enhance efficiency.
- Collaborate closely with quantitative analysts, traders, and risk managers to understand data requirements and implement solutions that improve decision-making processes.
- Maintain and optimize existing data infrastructure, troubleshoot issues, and implement best practices for data security and compliance.
- Stay updated with emerging trends and technologies in data engineering, financial markets, and trading systems to continuously improve pipeline performance and reliability.
Key skills/competency
- Risk Data Pipeline Engineer
- Python
- SQL
- Data Engineering
- Financial Markets
- Hedge Funds
- High-Frequency Trading
- Real-time Systems
- Trade Data
- Risk Management
Benefits
At Teamware Solutions, we offer a comprehensive benefits package designed to support our employees' professional and personal growth. This includes competitive salary packages, health insurance coverage, and retirement plans. We also provide opportunities for ongoing training and development, including certifications and workshops relevant to financial technology and data engineering.
Our work environment promotes collaboration, innovation, and work-life balance. Employees have access to flexible working arrangements, a supportive team culture, and recognition programs that celebrate achievements. Additionally, we encourage participation in industry events and conferences to foster continuous learning and networking.
Equal Opportunity
Teamware Solutions is an equal opportunity employer committed to fostering an inclusive environment for all employees. We do not discriminate based on race, color, religion, gender, sexual orientation, national origin, age, disability, or any other protected characteristic. We believe diversity drives innovation and are dedicated to creating a workplace where everyone can thrive and contribute to our collective success.
Skills & topics
- Risk Data Pipeline Engineer
- Python
- SQL
- Data Engineering
- Financial Markets
- Hedge Funds
- High-Frequency Trading
- Real-time Systems
- Trade Data
- Risk Management
- Bloomberg
- Fidessa
- SpiderRock
- FIX Protocol
- pandas
- KDB+/q
How to get hired
- Tailor your resume: Highlight Python, SQL, and financial market experience.
- Showcase relevant projects: Detail your work with trade data pipelines.
- Emphasize domain knowledge: Mention hedge fund or HFT experience.
- Prepare for technical interviews: Brush up on data engineering and SQL.
- Network effectively: Connect with Teamware Solutions recruiters on LinkedIn.
Technical preparation
Behavioral questions
Frequently asked questions
- What is the primary focus of the Risk Data Pipeline Engineer role at Teamware Solutions?
- The Risk Data Pipeline Engineer role at Teamware Solutions focuses on building and scaling data pipelines to support real-time risk management, P&L calculations, and trade lifecycle processes within a high-performance trading environment.
- What specific financial data sources will I work with as a Risk Data Pipeline Engineer at Teamware Solutions?
- As a Risk Data Pipeline Engineer at Teamware Solutions, you will work with streaming and normalizing trade data from various platforms such as Bloomberg, Fidessa, and SpiderRock.
- What programming languages and tools are essential for the Risk Data Pipeline Engineer position?
- Essential programming languages include Python (over four years of experience required) and SQL. Experience with data engineering tools like pandas, R, Julia, or KDB+/q is preferred.
- Does Teamware Solutions require prior experience in high-frequency or quantitative trading for this role?
- Prior experience working in high-frequency or quantitative trading environments is highly desirable for the Risk Data Pipeline Engineer role at Teamware Solutions.
- What kind of collaboration is expected in the Risk Data Pipeline Engineer role?
- The Risk Data Pipeline Engineer is expected to collaborate closely with quantitative analysts, traders, and risk managers to understand data requirements and deliver effective solutions.
- What are the benefits of working at Teamware Solutions as a Risk Data Pipeline Engineer?
- Teamware Solutions offers competitive salaries, health insurance, retirement plans, ongoing training and development opportunities, flexible working arrangements, and a supportive team culture.
- Is Teamware Solutions an equal opportunity employer for the Risk Data Pipeline Engineer position?
- Yes, Teamware Solutions is an equal opportunity employer committed to fostering an inclusive environment and does not discriminate based on protected characteristics.