Timeline Capital was founded in 2016 as an algorithmic research and technology firm. We are active in several markets in Asia and looking for researchers to join our team. As our trading capabilities grow, we are looking for additional quantitative researchers to build, maintain, and optimize our trading models. As a key member of our research team, you will collaborate closely with other traders, technologists, and researchers.
In this role you can apply your quantitative skills to:
- Research, build, and test predictive signals
- Identify and experiment with ideas to improve existing models
- Apply different machine learning models to existing features and data sets
- Evaluate new machine learning techniques on our existing time-series data sets
- Explore different methods to monetize signals
- Integrate predictive signals into new trading models
The work will be challenging, fast-paced, and competitive. You will have the opportunity to work with smart people in a creative and open environment.
A financial background is not necessary, rather we are looking for people who have worked extensively with data. You will be working with senior management with extensive quantitative experience in overseas markets.
Timeline Capital 成立於2016年,我們深耕於亞洲市場並專注於演算法和技術開發。隨著我們交易能力的增加,我們希望能招聘更多的量化研究員來幫忙構建、維護和改進我們的交易模型。作為我們研究團隊的關鍵成員,您將與其他交易員、技術人員和研究員密切合作。
在這個角色裡,您能將您的技術技能應用於:
- 研究、構建和測試信號
- 改進現有模型
- 將不同的模型應用於現有的數據
- 在我們現有數據上評估新的技術
- 探索所有辦法
- 將預測信號整合進新的交易模型中
這份工作將具有挑戰性、競爭激烈且節奏快速。您將有機會與頂尖的團隊們一起工作,在創意和開放的環境中共同進步。這個職位不要求金融背景,我們更看重的是有大量數據處理經驗的人才。此職位位於台灣台北,您將與具有海外市場豐富定量經驗的高層管理人員合作。
Qualifications:
- Academic background or strong interest in financial market microstructure data analysis
- Proficiency in Python or similar programming languages
- Educational background in Statistics, Mathematics, Computer Science, Physics, or related STEM fields
- Fundamental understanding of quantitative research methodologies and lightGBM, XGBoost or any machine learning packages
Preferred Qualifications:
- Experience with C++ on Linux or Unix-like platforms
- Knowledge of database management and SQL operations
- Familiarity with version control systems (Git)
- Research competencies and experience
Responsibilities:
- Assist in developing and enhancing existing trading models and strategies
- Support financial data analysis and market research projects
- Provide analytical support to experienced traders and researchers
<Job Description>
1. Performing various CFs runs using RAFM model.
2. Preparing NBV/NBM results/templates/slides under IFRS17 regime.
3. Perform scenario testing and analysis.
4. Producing RoRC/CIR and its commentary.
5. Working with Pricing, Risk Management, FMA and various channels whenever required.
6. Ad hoc tasks from CFO or regional office.
<Characteristics of the job>
- Being able to analyze and comment on the movement, provide insightful inputs for helping business steering.
- Ambitious with strong analytical skills, good communication, teamwork orientation, involvement with non-Finance/Actuarial functions, and being able to perform under time pressure