Quantitative Trading Engineer / Quantitative Researcher

Working day: Monday to Friday, 9am to 6.30pm

Working location: Raffles Place

Salary: Discuss during interview

Responsibilities

Strategy Development:

• Use AI technologies such as machine learning and deep learning to intelligently optimize investment strategies and improve the performance of strategies in actual transactions.
• Extract predictive signals from financial data through both traditional statistical analysis methods and cutting-edge machine learning techniques.
• Formulate and apply mathematical modeling techniques to enhance existing trading strategies and perform innovative new research with the goal of identifying and capturing trading opportunities.

Data Analysis：

• Collect and analyze large financial datasets (market data, news, social media, etc.).
• Work with large data sets to predict and test statistical market patterns, combining knowledge of systems, mathematical techniques, and trading to identify the best places to improve the trading system.
• Build and optimize feature engineering pipelines to improve model prediction accuracy.

Financial Modeling:

• Construct, back-test, maintain, and improve financial models to support trading activities.
• Conceptualize valuation strategies, develop, and continuously improve upon mathematical models and help translate algorithms into code
• Conduct research and statistical analysis to build and refine monetization systems for trading signals
• Optimize the order execution and risk management of our trading system
• Create robust solutions to problems presented in the trading environment
• Build regression, classification, reinforcement learning and other models for market forecasting and trading decisions.
• Tuning the model's hyperparameters to improve model performance and stability.

Strategy backtesting and real-time testing:

• Backtest historical data to evaluate the strategy's yield, volatility, drawdown and other indicators.
• Deploy the strategy to the real-time environment, track performance and continuously optimize.

Requirements

• Master’s degree or above in Statistics, Mathematics, Applied Mathematics, Computer Science, Financial Engineering or equivalent.
• At least 2 years of experience in quantitative trading and machine learning modeling.
• Proficient in programming languages ​​such as Python, C++, Java, etc.
• Familiar with common machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn.
• Familiar with quantitative trading systems, data flows and algorithms.
• Deep understand the structure of financial markets and be familiar with markets such as virtual currencies, stocks, futures, and foreign exchange.
• Experience in large-scale data processing, proficient in using SQL, NoSQL, Hadoop and other tools.

Bonus Skills

• Experience in developing high-frequency trading strategies will be an advantage.
• Participated in AI competitions (such as Kaggle) or published papers in top conferences (such as NeurIPS, ICML) will be an advantage.
• Familiar with cutting-edge AI technologies such as reinforcement learning, and generative adversarial networks (GANs) will be an advantage.

Job Descriptions:

• Assist respondents in completing selected surveys online or through manual collection.
• Ensure timely submission of completed survey data into the company system.
• Perform daily updates of call outcomes using Excel files assigned to you, ensuring data accuracy and consistency.
• Collaborate closely with team members to ensure successful survey completion and achieve team targets.
• Accurately update daily reports in Excel to track productivity and performance metrics.
• Rectify any data errors or ambiguities identified during the survey data collection process.
• Maintain detailed and concise case notes in the company system for each respondent, recording call outcomes and any updates on assigned cases.
• Adhere to Standard Operating Procedures (SOPs) and ensure compliance with quality standards.

Interested candidate please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile.

We regret to inform that only shortlisted candidates will be notified.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394• Reg. R22111375 Chua Jie Lin

Quantitative Trading Engineer / Quantitative Researcher

Working day: Monday to Friday, 9am to 6.30pm

Working location: Raffles Place

Salary: Discuss during interview

Responsibilities

Strategy Development:

• Use AI technologies such as machine learning and deep learning to intelligently optimize investment strategies and improve the performance of strategies in actual transactions.
• Extract predictive signals from financial data through both traditional statistical analysis methods and cutting-edge machine learning techniques.
• Formulate and apply mathematical modeling techniques to enhance existing trading strategies and perform innovative new research with the goal of identifying and capturing trading opportunities.

Data Analysis：

• Collect and analyze large financial datasets (market data, news, social media, etc.).
• Work with large data sets to predict and test statistical market patterns, combining knowledge of systems, mathematical techniques, and trading to identify the best places to improve the trading system.
• Build and optimize feature engineering pipelines to improve model prediction accuracy.

Financial Modeling:

• Construct, back-test, maintain, and improve financial models to support trading activities.
• Conceptualize valuation strategies, develop, and continuously improve upon mathematical models and help translate algorithms into code
• Conduct research and statistical analysis to build and refine monetization systems for trading signals
• Optimize the order execution and risk management of our trading system
• Create robust solutions to problems presented in the trading environment
• Build regression, classification, reinforcement learning and other models for market forecasting and trading decisions.
• Tuning the model's hyperparameters to improve model performance and stability.

Strategy backtesting and real-time testing:

• Backtest historical data to evaluate the strategy's yield, volatility, drawdown and other indicators.
• Deploy the strategy to the real-time environment, track performance and continuously optimize.

Requirements

• Master’s degree or above in Statistics, Mathematics, Applied Mathematics, Computer Science, Financial Engineering or equivalent.
• At least 2 years of experience in quantitative trading and machine learning modeling.
• Proficient in programming languages ​​such as Python, C++, Java, etc.
• Familiar with common machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn.
• Familiar with quantitative trading systems, data flows and algorithms.
• Deep understand the structure of financial markets and be familiar with markets such as virtual currencies, stocks, futures, and foreign exchange.
• Experience in large-scale data processing, proficient in using SQL, NoSQL, Hadoop and other tools.

Bonus Skills

• Experience in developing high-frequency trading strategies will be an advantage.
• Participated in AI competitions (such as Kaggle) or published papers in top conferences (such as NeurIPS, ICML) will be an advantage.
• Familiar with cutting-edge AI technologies such as reinforcement learning, and generative adversarial networks (GANs) will be an advantage.

Quantitative Trading Engineer / Quantitative Researcher

Working day: Monday to Friday, 9am to 6.30pm

Working location: Raffles Place

Salary: Discuss during interview

Responsibilities

Strategy Development:

• Use AI technologies such as machine learning and deep learning to intelligently optimize investment strategies and improve the performance of strategies in actual transactions.
• Extract predictive signals from financial data through both traditional statistical analysis methods and cutting-edge machine learning techniques.
• Formulate and apply mathematical modeling techniques to enhance existing trading strategies and perform innovative new research with the goal of identifying and capturing trading opportunities.

Data Analysis：

• Collect and analyze large financial datasets (market data, news, social media, etc.).
• Work with large data sets to predict and test statistical market patterns, combining knowledge of systems, mathematical techniques, and trading to identify the best places to improve the trading system.
• Build and optimize feature engineering pipelines to improve model prediction accuracy.

Financial Modeling:

• Construct, back-test, maintain, and improve financial models to support trading activities.
• Conceptualize valuation strategies, develop, and continuously improve upon mathematical models and help translate algorithms into code
• Conduct research and statistical analysis to build and refine monetization systems for trading signals
• Optimize the order execution and risk management of our trading system
• Create robust solutions to problems presented in the trading environment
• Build regression, classification, reinforcement learning and other models for market forecasting and trading decisions.
• Tuning the model's hyperparameters to improve model performance and stability.

Strategy backtesting and real-time testing:

• Backtest historical data to evaluate the strategy's yield, volatility, drawdown and other indicators.
• Deploy the strategy to the real-time environment, track performance and continuously optimize.

Requirements

• Master’s degree or above in Statistics, Mathematics, Applied Mathematics, Computer Science, Financial Engineering or equivalent.
• At least 2 years of experience in quantitative trading and machine learning modeling.
• Proficient in programming languages such as Python, C++, Java, etc.
• Familiar with common machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn.
• Familiar with quantitative trading systems, data flows and algorithms.
• Deep understand the structure of financial markets and be familiar with markets such as virtual currencies, stocks, futures, and foreign exchange.
• Experience in large-scale data processing, proficient in using SQL, NoSQL, Hadoop and other tools.

Bonus Skills

• Experience in developing high-frequency trading strategies will be an advantage.
• Participated in AI competitions (such as Kaggle) or published papers in top conferences (such as NeurIPS, ICML) will be an advantage.
• Familiar with cutting-edge AI technologies such as reinforcement learning, and generative adversarial networks (GANs) will be an advantage.

Quantitative Trading Engineer / Quantitative Researcher

Working day: Monday to Friday, 9am to 6.30pm

Working location: Raffles Place

Salary: Discuss during interview

Responsibilities

Strategy Development:

• Use AI technologies such as machine learning and deep learning to intelligently optimize investment strategies and improve the performance of strategies in actual transactions.
• Extract predictive signals from financial data through both traditional statistical analysis methods and cutting-edge machine learning techniques.
• Formulate and apply mathematical modeling techniques to enhance existing trading strategies and perform innovative new research with the goal of identifying and capturing trading opportunities.

Data Analysis：

• Collect and analyze large financial datasets (market data, news, social media, etc.).
• Work with large data sets to predict and test statistical market patterns, combining knowledge of systems, mathematical techniques, and trading to identify the best places to improve the trading system.
• Build and optimize feature engineering pipelines to improve model prediction accuracy.

Financial Modeling:

• Construct, back-test, maintain, and improve financial models to support trading activities.
• Conceptualize valuation strategies, develop, and continuously improve upon mathematical models and help translate algorithms into code
• Conduct research and statistical analysis to build and refine monetization systems for trading signals
• Optimize the order execution and risk management of our trading system
• Create robust solutions to problems presented in the trading environment
• Build regression, classification, reinforcement learning and other models for market forecasting and trading decisions.
• Tuning the model's hyperparameters to improve model performance and stability.

Strategy backtesting and real-time testing:

• Backtest historical data to evaluate the strategy's yield, volatility, drawdown and other indicators.
• Deploy the strategy to the real-time environment, track performance and continuously optimize.

Requirements

• Master’s degree or above in Statistics, Mathematics, Applied Mathematics, Computer Science, Financial Engineering or equivalent.
• At least 2 years of experience in quantitative trading and machine learning modeling.
• Proficient in programming languages ​​such as Python, C++, Java, etc.
• Familiar with common machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn.
• Familiar with quantitative trading systems, data flows and algorithms.
• Deep understand the structure of financial markets and be familiar with markets such as virtual currencies, stocks, futures, and foreign exchange.
• Experience in large-scale data processing, proficient in using SQL, NoSQL, Hadoop and other tools.

Bonus Skills

• Experience in developing high-frequency trading strategies will be an advantage.
• Participated in AI competitions (such as Kaggle) or published papers in top conferences (such as NeurIPS, ICML) will be an advantage.
• Familiar with cutting-edge AI technologies such as reinforcement learning, and generative adversarial networks (GANs) will be an advantage.

Roles & Responsibilities:

• Lead the quantity surveying team in contract administration to ensure quality and timely delivery of assigned tasks.
• Lead contract negotiations with clients and subcontractors to achieve favorable terms.
• Participate in the project tender process, leading the team in tabulating quantities and pricing.
• Draft, review, and negotiate contracts, subcontracts, and amendments.
• Prepare and monitor project cost budgets; track changes in design and construction work; manage variations; and adjust budget projections accordingly.
• Administer progress claims, back-charges, variation orders, indemnity warranties, final accounts, and collections.
• Provide management reporting.

Requirements:

• Bachelor’s Degree or Diploma in Quantity Surveying / Building Construction / Civil Engineering.
• Minimum of 8 years of experience in quantity surveying or contract administration in a similar role within the construction industry, with at least 4 years working for a main contractor being advantageous.
• Strong understanding of construction contracts and have good knowledge of relevant laws, regulations, and industry standards.
• Ability to manage multiple contracts and projects simultaneously.
• Proficiency in AutoCAD is a plus.
• Meticulous and analytical, with excellent negotiation, communication, and leadership skills.

Admin Assistant (Construction)

• Working day: 5.5day (Mon-Fri 9am-6pm ; Sat 9am-1pm)
• Working location: Tuas – Transport Provide from Tuas Link MRT
• Salary: $2,400 - $2,600 (Experience can ask higher, up to $3k)

Requirement:

• At least relevant working experience in Construction Industry

Responsibility:

• Answer and direct phone calls
• Organize and schedule appointments
• Plan meetings and take detailed minutes
• Write and distribute email, correspondence memos, letters, faxes and forms
• Assist in the preparation of regularly scheduled reports
• Develop and maintain a filing system
• Update and mainta
• in office policies and procedures
• Order office supplie
• Maintain contact lists
• Book travel arrangements
• Submit and reconcile expense reports
• Provide general support to visitors
• Act as the point of contact for internal and external clients
• Liaise with executive and senior administrative assistants to handle requests and queries from senior managers

WhatsApp: https://wa.me/6591044149 (Shermaine)

Siah Sze Ming Reg No: R24125414

The Supreme HR Advisory Pte Ltd EA No: 14C7279

Job Details:

• Working Location: Plaza Singapura
• Working Hour: Single shift from 10.30am to 9.30pm
• Working Days: 4 days per week (2 weekday + 2 weekend - both Sat & Sun); remarks: there will be 1 day weekend off per month, either Sat or Sun - according to roster
• Contract: 1 year (renewable)
• Completion bonus up to 1 month’s salary

Responsibilities:

• Provide sales support administrative as Customer Relations Officer
• Handle all operational matters and work closely with sales team to ensure fulfilment of sales.
• Generate Sales Order upon completion of sales for call centre and online orders
• Deliver excellent service to ensure high levels of customer satisfaction
• Respond to customer complaints and concerns in a professional manner
• Arrange and update appointments for commercial customers, and liaise with the Commercial team
• Ensure adequate support and timely coordination with interdepartmental colleagues e.g Finance, showroom matters
• Ensure upkeeping and accuracy of all administrative duties, including managing of online store records, documentation etc
• Other duties assigned by Supervisor

Interested candidate please click "APPLY"to begin your job search journey and submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile. https://go.persolkelly.com/job/apply/3622

Should you be interested in this position, please contact Coco at 8121 4759 your resume directly for fast respond.

We regret to inform that only shortlisted candidates will be notified.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394• Reg. R23117223 (Poh Siew Ling)

Underwriting

• Assist the Head and work with own Team Leader and members to:
• Prepare underwriting / renewal information
• Ensure that sanction checks are conducted.
• Update and maintain the records, schedules, statistics, etc.
• Stay current on market conditions and to share findings and updates with all members of the team as appropriate.

Channel / Relationship Management / Service Standards

• Maintain service standards by timely response to internal team requests in addition to meeting deadlines

Job Requirement

• Basic Degree/Diploma in Business or Engineering with CGI
• 1 year experience in General Insurance operations
• Some knowledge of General insurance operations
• Some understanding of laws and legislation in relation to the General Insurance industry.

We apologize that only shortlisted candidates will be contacted. Thank you

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates collecting, using and disclosing my personal data for the purposes set out in the Privacy Policy which is available at www.persolkelly.com.sg I also acknowledge that I have read, understood, and agree to the said Privacy Policy.

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E

EA Registration No. R1653100 (Goh Jia Zhen Crystal)

Job Details:

• Working Location: Plaza Singapura
• Working Hour: Single shift from 10.30am to 9.30pm
• Working Days: 4 days per week (2 weekday + 2 weekend - both Sat & Sun); remarks: there will be 1 day weekend off per month, either Sat or Sun - according to roster
• Contract: 1 year (renewable)
• Completion bonus up to 1 month’s salary

Responsibilities:

• Provide sales support administrative as Customer Relations Officer
• Handle all operational matters and work closely with sales team to ensure fulfilment of sales.
• Generate Sales Order upon completion of sales for call centre and online orders
• Deliver excellent service to ensure high levels of customer satisfaction
• Respond to customer complaints and concerns in a professional manner
• Arrange and update appointments for commercial customers, and liaise with the Commercial team
• Ensure adequate support and timely coordination with interdepartmental colleagues e.g Finance, showroom matters
• Ensure upkeeping and accuracy of all administrative duties, including managing of online store records, documentation etc
• Other duties assigned by Supervisor

Interested candidate please click "APPLY"to begin your job search journey and submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile. https://go.persolkelly.com/job/apply/3622

Should you be interested in this position, please contact Coco at 8121 4759 your resume directly for fast respond.

We regret to inform that only shortlisted candidates will be notified.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394• Reg. R23117223 (Poh Siew Ling)

ob Description
Responsibilities include, but are not limited to, the following:

• Adhere to the sanction check requirements and ensuring that all required checks are conducted with no breach.
• Working with the Head and own Team Leader to establish best practices and processes to ensure that the team meet the company’s service standards set.

Underwriting

• Assist the Head and work with own Team Leader and members to:
• Prepare underwriting / renewal information
• Ensure that sanction checks are conducted.
• Update and maintain the records, schedules, statistics, etc.
• Stay current on market conditions and to share findings and updates with all members of the team as appropriate.

Channel / Relationship Management / Service Standards

• Maintain service standards by timely response to internal team requests in addition to meeting deadlines

Job Requirement

• Basic Degree/Diploma in Business or Engineering with CGI
• 1 year experience in General Insurance operations
• Some knowledge of General insurance operations
• Some understanding of laws and legislation in relation to the General Insurance industry.

We apologize that only shortlisted candidates will be contacted. Thank you

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates collecting, using and disclosing my personal data for the purposes set out in the Privacy Policy which is available at www.persolkelly.com.sg I also acknowledge that I have read, understood, and agree to the said Privacy Policy.

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E

EA License No. 01C4394 • EA Registration No. R22109561 (Mohammed Firdaus Bin Ellias)