At a Glance
- Tasks: Join a dynamic team to develop cutting-edge ML algorithms for systematic trading strategies.
- Company: Innovative financial firm focused on multi-asset class strategies.
- Benefits: Competitive salary, performance bonuses, and comprehensive benefits package.
- Other info: Collaborative environment with opportunities for mentorship and career growth.
- Why this job: Make a real impact in finance while working with big data and advanced technologies.
- Qualifications: Ph.D. in STEM, strong Python/R skills, and experience in quantitative finance.
The predicted salary is between 54000 - 66000 £ per year.
Quantitative Researcher, Multi-Asset
We are seeking a senior quantitative researcher to partner with the Senior Portfolio Manager to create alpha from various data sources for the systematic trading of global multi‑asset class strategies.
- Location
- Berkeley, CA (open to US based candidates)
- Principal Responsibilities
- Work alongside the Senior Portfolio Manager on building prediction and portfolio optimization pipelines.
- Understand the potential prediction power from data sources and identify alphas.
- Develop state‑of‑the‑art ML algorithms for prediction and optimization.
- Perform various statistical analysis to ensure robustness.
- Mentor and guide junior team members.
- Combine sound financial insights and statistical learning techniques to explore, analyze, and harness large varieties of datasets.
- Aid in developing and extending the team's proprietary research platform.
- Collaborate with the PM and the trading group in a transparent environment, engaging with the whole investment process.
- Stay current on state‑of‑the‑art technologies and tools, including technical libraries, computing environments and academic research.
- Preferred Technical Skills
- Strongly skilled in Python and R (Pandas, Num Py, Tensor Flow, Py Torch, etc.).
- Ph. D. degree in Computer Science, Mathematics, Statistics, or related STEM field from a top‑ranked university.
- Demonstrated knowledge of quantitative finance, mathematical modelling, statistical analysis, regression, and probability theory.
- Excellent communication, problem‑solving, and analytical skills, with the ability to quickly understand and apply complex concepts.
- Experience and success working with large and diverse data sets.
- Preferred Experience
- 4+ years of experience working in a systematic trading environment.
- 4+ years of hands‑on experience working with multiple vendor data sets and, in particular, manipulating data (assessing, cleaning, creating features, etc.).
- Established alpha research pipeline with production‑grade output.
- Strong experience in evaluating alphas with statistical methods.
- Experience collaborating effectively with cross‑functional teams, multitasking and adapting in a fast‑paced environment.
- Highly Valued Relevant Experience
- Experience working with big data sets.
- Experience working in an autonomous, fast‑paced environment.
- Target Start Date
- April1 (open to 12month NCA for strong candidates)
Compensation
Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package.
The estimated base salary range for this position is $150,000 to $200,000, which is specific to New York and may change in the future.
When finalizing an offer, we take into consideration an individual's experience level and the qualifications they bring to the role to formulate a competitive total compensation package.
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Fixed Income Trader in London employer: Quant Blueprint LLC
Join our dynamic team as a Senior Lead Software Engineer in the heart of the financial district, where innovation meets expertise. We pride ourselves on fostering a collaborative work culture that encourages professional growth and mentorship, ensuring you have the resources to excel in your role while making impactful contributions to model risk management. With competitive benefits and a commitment to employee development, this is an exceptional opportunity for those seeking a meaningful career in a leading financial institution.
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We think this is how you could land Fixed Income Trader in London
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We think you need these skills to ace Fixed Income Trader in London
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