Total 4 research nurse job vacancies in Others category in Singapore

Tower Research Capital, a high-frequency proprietary trading firm founded in 1998, seeks a Risk Manager, with a strong background in systematic/algorithmic trading to join the global Risk and Trading Supervision team in Singapore.

Responsibilities

• Providing risk oversight for the APAC trading activities of the firm by focusing on electronic trading risk and market risk
• Support the APAC Head of Risk in developing and enhancing risk management framework, policies and procedures
• Controlling both electronic trading risk and market risk of strategies in real-time, and consequently escalating, reporting, and resolving any risk related issues in a timely manner
• Working closely with the Portfolio Managers, Traders, Core Engineering team, and Exchanges/Prime Brokers to respond effectively to any risk limit violation and resolving any trading and risk related issues
• Assisting Risk Management and Risk Technology teams to enhance the electronic trading risk controls and design the next generation of risk analytics and trading supervision systems
• Conducting ad-hoc risk analysis and back-testing on trading strategies on a regular basis

Qualifications

• Bachelor’s degree in Financial Engineering, Mathematics, Economics, Computing or related field. Quantitative Master’s degree highly regarded
• At least 5 years of experience in an electronic trading role gained from a quantitative proprietary trading group, systematic hedge fund manager, or sell-side electronic trading role
• Strong experience with algorithmic trading and low latency electronic risk controls is preferred
• Strong financial markets, products and valuation knowledge preferably in Equities, FX and related derivatives (futures and options)
• Understanding of regional exchange-specific rules and regulations
• Strong Python and database proficiency skills in conducting data and quantitative analysis
• Good track record of working with senior management, compliance, business management and technology teams
• Strong problem-solving skills, attention to details with excellent written and verbal skills
• Desire to continuously learn and proactively challenge the status quo to improve existing processes

Tower Research Capital, a high-frequency proprietary trading firm founded in 1998, seek for a talented Quantitative Trader to join our Singapore office.

As a member of one of Tower’s trading teams, a Quantitative Trader will be using Tower’s in-house trading system—one of the fastest and most comprehensive in the world—to develop and deploy algorithmic trading strategies based on patterns in market behavior.

Responsibilities

• Designing, implementing and deploying trading algorithms
• Researching high to mid frequency alphas
• Exploring trading ideas by analyzing market data, market microstructure and alternate data for patterns
• Creating tools to analyze data for patterns and developing data platforms
• Contributing to libraries of analytical computations to support market data analysis and trading
• Developing, augmenting and calibrating exchange simulators

Qualifications

• A Bachelors, Masters or PhD degree in Mathematics, Statistics, Computer Science or equivalent STEM degree
• At least 1 year professional experience in quantitative trading is preferred
• A strong background in mathematics and statistics
• Proficiency in back-testing, simulation, and statistical techniques (auto-regression, auto-correlation and Principal Component Analysis)
• Solid data-mining and analysis skills, including experience dealing with a large amount of data/tick data
• Familiarity with signal generation and statistical models
• Strong programming skills in Python or C++

Tower Research Capital seeks a Quantitative Developer to join our Singapore office. Working at Tower means collaborating with bright minds from around the world to create cutting edge-technology and tackle challenging technical problems.

Responsibilities

• Designing and implementing a low latency high-frequency trading platform, which includes collecting quotes and trades from and disseminating orders to exchanges around the world
• Assisting in the development of a tick by tick backtesting research platform
• Assisting in development and optimizing large-scale parallel computation problems that requires large quantities of data shared across resources
• Optimizing the computational efficiency of existing machine learning based algorithms to drive higher performance and faster learning rates
• Developing systems, interfaces and tools to historical market data and trading simulations that increase research productivity
• Creating tools to analyze data and generate insights that research decisions are based on

Required Qualifications

• A degree in computer science or a related field
• At least 5 years of practical experience with C++ and Python
• A strong background in data structures, algorithms, and object-oriented programming
• Good experience with other programming languages such as Java
• Strong working knowledge of Linux and SQL
• Brilliant detail oriented problem-solving abilities
• Passion for innovation and building systems from the ground up
• A self-starter attitude with the ability to work independently and own problems
• The ability to manage multiple tasks and make decisions in a fast-paced environment
• Strong communication skills in English for business purpose

As a member of one of Tower’s trading teams, a Quantitative Trader will be using Tower’s in-house trading system—one of the fastest and most comprehensive in the world—to develop and deploy algorithmic trading strategies based on patterns in market behavior.

Responsibilities

• Designing, implementing, and deploying high-frequency trading algorithms
• Exploring trading ideas by analyzing market data and market micro-structure for patterns
• Creating tools to analyze data for patterns
• Contributing to libraries of analytical computations to support market data analysis and trading
• Developing, augmenting, and calibrating exchange simulators

Qualifications

• At least a Bachelors degree in Computer Science, or a related field from a top-tier university
• 0 to 3 years of experience in high-frequency trading
• A strong background in mathematics and statistics
• Proficiency in back-testing, simulation, and statistical techniques (auto-regression, auto-correlation, and Principal Component Analysis)
• Solid data-mining and analysis skills, including experience dealing with a large amount of data/tick data
• Good experience with signal generation and statistical models
• Strong programming skills in C++ and Python