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** Python Developer (Fixed Income) - Remote -$200K Please reach out at www.maven.jobs Job description below 👇 Financial Technology firm with a focus on fixed income analytics and software is looking for a detail-oriented Python Developer. The ideal candidate will be responsible for developing and maintaining software solutions that support our fixed income trading and analytics activities. This role requires a strong programming background. Key Responsibilities: Software Development: Design, develop, and maintain Python applications for fixed income trading and analytics. Implement and enhance algorithms for pricing, risk management, and portfolio optimization. Develop tools and libraries to support fixed income data analysis and trading strategies. Data Management and Analysis: Collect, process, and analyze large datasets related to fixed income markets. Develop data pipelines and ETL processes to ensure data quality and consistency. Implement data visualization tools to help traders and analysts interpret market data. System Integration: Integrate Python applications with existing trading platforms and systems. Collaborate with IT and infrastructure teams to ensure seamless deployment and operation of applications. Implement APIs and interfaces for data exchange between systems. Collaboration and Support: Work closely with fixed income traders, analysts, and other stakeholders to gather requirements and deliver solutions. Provide technical support for trading and analytics applications, troubleshooting and resolving issues promptly. Participate in code reviews and contribute to best practices in software development. Research and Innovation: Stay current with the latest developments in Python programming, fixed income markets, and financial technologies. Explore new tools, techniques, and methodologies to enhance trading and analytics capabilities. Contribute to the continuous improvement of development processes and workflows. Qualifications: Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Finance, or a related field. Experience: 3+ years of experience in Python development from any industry. Financial services experience is welcome but not required. Technical Skills: Expertise in Python programming, including experience with libraries such as Pandas, NumPy, and SciPy. Experience with SQL and NoSQL databases for data management and analysis. Familiarity with version control systems (Git) and collaborative development tools. Analytical Skills: Strong problem-solving abilities and attention to detail. Ability to interpret and analyze complex financial data. Communication Skills: Excellent verbal and written communication skills. Ability to work effectively in a team environment and convey technical information to non-technical stakeholders.

** 20 % Annual Return** Meet our Project Director "Veer" who has 20+ years experience executing land development projects in Telangana, India. Partner with us on land development projects. Learn more and arrange a call by visiting www.ramandpartners.com

** Annual Return 20%** Partner with us on land development projects. Learn more and arrange a call by visiting www.ramandpartners.com

** C++ Trading Systems Engineer - Trading Firm $600K++ - NY/CH/TX Please reach out www.maven.jobs if interested. Job Description Below 👇 Mid-size quant trading firm is looking for a highly skilled C++ Trading Systems Developer to join its dynamic team. The ideal candidate will be responsible for developing, optimizing, and maintaining high-frequency trading systems. This role requires a deep understanding of trading systems, strong programming skills, and experience with low-latency applications. Key Responsibilities: System Development: Design, develop, and implement high-frequency trading systems using C++. Write efficient, low-latency code to execute trades and manage orders. Develop algorithms for real-time trading, data analysis, and risk management. Optimization and Performance Tuning: Optimize trading systems for performance and reliability. Implement low-latency techniques to ensure systems operate at peak efficiency. Conduct performance testing and profiling to identify bottlenecks and optimize code. System Maintenance and Support: Maintain and enhance existing trading systems. Monitor system performance and troubleshoot issues as they arise. Provide ongoing support to trading desks and address technical queries promptly. Collaboration and Documentation: Collaborate with quantitative researchers, traders, and other developers to gather requirements and design solutions. Document system architecture, design decisions, and operational procedures. Participate in code reviews to ensure code quality and adherence to best practices. Research and Innovation: Stay current with the latest developments in financial markets, trading technologies, and C++ standards. Explore new technologies and methodologies to enhance trading systems. Contribute to the continuous improvement of the development process. Qualifications: Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field. Experience: 3+ years of experience in developing high-frequency trading systems or similar low-latency applications. Technical Skills: Expertise in C++ programming, including C++11/14/17/20 standards. Strong understanding of algorithms, data structures, and software design principles. Experience with multithreading, parallel processing, and real-time systems. Familiarity with network programming and protocols (TCP/IP, UDP). Proficiency in scripting languages (Python, Bash) for automation and data processing. Financial Knowledge: Understanding of financial markets, trading concepts, and market data feeds. Analytical Skills: Strong problem-solving abilities and attention to detail. Ability to analyze complex systems and data. Communication Skills: Excellent verbal and written communication skills. Ability to work effectively in a team environment and convey technical information to non-technical stakeholders.

** Annual Return 20%** The top layer of our newly acquired site being shaved. Partner with us on land development projects. Learn more and arrange a call by visiting www.ramandpartners.com

** Systematic Futures Researcher - $500k+, CTA Firm, CT USA** Please reach out at www.maven.jobs JOB DESCRIPTION 👇 Leading CTA is looking for an experienced ,highly motivated and detail-oriented Systematic Futures Researcher to join its research team. The ideal candidate will be responsible for conducting rigorous quantitative analysis, developing systematic trading strategies, and providing actionable insights on futures markets. This role requires a deep understanding of financial markets, strong analytical skills, and proficiency in programming. Key Responsibilities: Quantitative Research and Analysis: Conduct in-depth research on futures markets, including commodities, currencies, interest rates, and indices. Develop and test systematic trading strategies using quantitative methods. Perform statistical analysis and backtesting of trading models to evaluate their performance. Data Management and Analysis: Collect, clean, and analyze large datasets from various sources. Develop and maintain databases and data models to support research activities. Utilize advanced data analytics and machine learning techniques to uncover market patterns and trends. Strategy Development and Implementation: Design, implement, and optimize algorithmic trading strategies. Collaborate with the trading team to integrate research findings into trading platforms. Monitor and evaluate the performance of implemented strategies, making adjustments as necessary. Collaboration and Continuous Improvement: Work closely with other researchers, traders, and IT professionals to enhance research capabilities. Contribute to the continuous improvement of research processes and methodologies. Participate in industry conferences, workshops, and training programs to stay current with the latest advancements in quantitative research and trading. Qualifications: Education: Master’s / Ph.D. degree in Finance, Economics, Mathematics, Statistics, Computer Science, or a related field. Experience: 3+ years of experience in quantitative research, preferably in futures markets. Experience with systematic trading is highly desirable. Technical Skills: Proficiency in programming languages such as Python, R, MATLAB, or C++. Strong knowledge of statistical and econometric techniques. Experience with data visualization tools and techniques. Familiarity with trading platforms and market data APIs. Analytical Skills: Exceptional problem-solving abilities and attention to detail. Strong ability to interpret and analyze complex data. Team Player: Ability to work effectively both independently and as part of a team. Collaborative mindset and willingness to share knowledge and insights.

** Data Engineer - Hedge Fund - Miami - $400K+** Reach out at www.maven.jobs Job Description Below 👇 We are a global multi-strategy hedge fund committed to leveraging data-driven insights to drive Investment decisions. We are seeking a skilled and motivated Data Engineer to join our growing data team. The Data Engineer will be responsible for building, maintaining, and optimizing our data pipelines, ensuring efficient data flow and accessibility for analytical and business needs. This role requires a deep understanding of data architecture, database management, and data processing technologies. Key Responsibilities: Data Pipeline Development: Design, develop, and maintain scalable and efficient data pipelines to ingest, process, and store large volumes of structured and unstructured data from various sources. Data Integration: Integrate data from multiple sources to create a unified data ecosystem, ensuring data consistency and quality. Data Warehousing: Build and manage data warehouses and data lakes, optimizing for performance and cost-efficiency. ETL Processes: Develop and maintain ETL (Extract, Transform, Load) processes to transform raw data into usable formats for analysis and reporting. Database Management: Manage and optimize databases, ensuring high availability, reliability, and performance. Data Quality: Implement data quality checks and validation processes to ensure data accuracy and integrity. Collaboration: Work closely with data scientists, analysts, and other stakeholders to understand data needs and provide solutions to support business objectives. Documentation: Create and maintain comprehensive documentation for data pipelines, processes, and systems. Monitoring: Monitor and troubleshoot data pipeline performance, identifying and resolving issues promptly. Qualifications: Education: Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field (Master’s degree preferred). Experience: Minimum of 5 years of experience as a Data Engineer or in a similar role. Finance Industry experience is preferred but not required. Technical Skills: Proficiency in programming languages such as Python, Java, or Scala. Strong experience with SQL and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB, Cassandra). Hands-on experience with data processing frameworks and tools (e.g., Apache Spark, Hadoop, Kafka). Knowledge of cloud platforms and services (e.g., AWS, Azure, Google Cloud) for data storage and processing. Familiarity with ETL tools and techniques. Understanding of data warehousing concepts and architectures. Analytical Skills: Strong problem-solving skills and the ability to analyze complex data sets. Communication: Excellent communication and collaboration skills, with the ability to convey technical concepts to non-technical stakeholders. Adaptability: Ability to work in a fast-paced environment and adapt to changing priorities and technologies.

**Annual Return - 20%** Partner with us on land development projects in India. Learn more and arrange a call by visiting www.ramandpartners.com

Does India really have a demographic advantage? India's demographic advantage is often cited as one of its most significant assets, characterized by a large and youthful population. With over 1.4 billion people, India is the second-most populous country in the world. A notable feature of its demographic profile is the high proportion of young people. As of 2024, approximately 65% of the population is under the age of 35, and the median age is around 28 years. This demographic dividend presents substantial opportunities for economic growth and development. But, there are challenges ahead and the Government of India is trying to address all of them: Healthcare: Improving healthcare infrastructure and services is vital to ensure a healthy and productive workforce. Access to quality healthcare, particularly for maternal and child health, is crucial for sustaining demographic advantages. Education: Strengthening the education system, from primary to higher education, is essential. Emphasizing STEM (Science, Technology, Engineering, and Mathematics) education and digital literacy can prepare the youth for future job markets. Employment: Creating job opportunities through industrial growth, entrepreneurship, and skill development programs is necessary to absorb the growing labor force. Policies promoting ease of doing business and supporting small and medium-sized enterprises (SMEs) can drive job creation. Urbanization: Managing urbanization effectively through smart city initiatives and sustainable urban planning can enhance living standards and economic opportunities in urban areas. Sustainability: Promoting sustainable development practices is crucial to balance economic growth with environmental conservation, ensuring long-term prosperity. If you want to be part of India's growth story, co-invest with us. Annual Return 20%. Arrange a call by visiting www.ramandpartners.com

**PHD Researcher - Systematic Trading** NY, Chicago, Miami $750K+, Hedge Fund Please reach out on www.maven.jobs Our Client Job Description 👇 We are a premier financial firm specializing in cutting-edge systematic trading strategies. Our team is composed of top-tier researchers, traders, and technologists dedicated to leveraging data and advanced analytics to develop and execute innovative trading models. We are currently seeking a highly skilled and motivated PhD researcher to join our systematic trading team and contribute to our success. Job Overview: As a PhD Researcher in Systematic Trading, you will be responsible for developing, testing, and implementing quantitative trading strategies. You will conduct in-depth research on financial markets, analyze large datasets, and apply advanced statistical and machine learning techniques to identify and capitalize on market inefficiencies. This role requires a strong academic background, exceptional analytical skills, and a passion for quantitative finance. Key Responsibilities: - Conduct rigorous research to develop and refine systematic trading strategies. - Analyze large and complex financial datasets to identify patterns and trends. - Utilize advanced statistical, econometric, and machine learning techniques to model financial markets. - Backtest and validate trading strategies using historical data. - Collaborate with other researchers, traders, and developers to implement strategies in a live trading environment. - Continuously monitor and optimize trading algorithms to ensure robust performance. - Stay abreast of the latest research and developments in quantitative finance and trading technologies. - Present research findings and strategy performance to stakeholders and senior management. Qualifications: PhD in a quantitative discipline such as Finance, Economics, Mathematics, Statistics, Computer Science, or a related field. Strong background in quantitative research, statistical analysis, and machine learning. Proficiency in programming languages commonly used in quantitative research (e.g., Python, R, MATLAB, C++). Experience with data analysis, statistical modeling, and machine learning libraries and tools. In-depth knowledge of financial markets, instruments, and trading strategies. Excellent problem-solving skills and the ability to think critically and creatively. Strong written and verbal communication skills, with the ability to present complex ideas clearly and concisely. Ability to work independently and collaboratively in a fast-paced, dynamic environment. Preferred Qualifications: Experience in futures systematic trading. Track record of published research in reputable academic journals or conferences. Please reach out on www.maven.jobs