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VP, Sr. Algo Execution Consultant - Systematic Trading Group / Global Execution Services
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VP, Sr. Algo Execution Consultant - Systematic Trading Group / Global Execution Services

发布于 大约 9 小时前

普通员工/个人贡献者

Central, HK
高级经验
全职员工
仅现场办公
本科
金融市场交易
Apac Equities
Market Microstructure
Sql
Tca
Twap
Vwap

AI 估算 · 120k–250k

VP-level execution consultant in HK financial market, requiring 6+ years of experience, salary aligns with international investm

职位详情

关于这个职位

This role is a senior client-facing execution consultant within Nomura's Agency Electronic Trading business. You will leverage quantitative analysis, TCA insights, and deep market microstructure knowledge to help institutional clients optimize their algorithmic trading performance across APAC equity markets. The position requires strong Python/SQL skills, a robust quantitative foundation, and the ability to translate complex data into clear, actionable recommendations.

最低要求

Required Qualifications:

Hard Skills:
Python proficiency for data manipulation, statistical analysis, and visualization. SQL required; experience building automated pipelines.
Strong foundation in probability, inference, hypothesis testing, and regression. Ability to apply rigorously to trading and time-series data.
Deep understanding of algo strategies (VWAP, TWAP, IS, liquidity-seeking, participation algos), mechanics, and trade-offs. Proven ability to interpret TCA, diagnose shortfall drivers, and recommend specific changes.
Familiarity with Asian equity markets—auction mechanisms, venue landscapes (lit/dark), tick regimes, regulatory frameworks.
Track record converting analytical findings into implementable changes that improve execution outcomes.
Demonstrated understanding of sell-side governance requirements to successfully operate under various governance oversight and processes to meet internal control standards and regulatory expectations.
Soft Skills:
Exceptional ability to distil quantitative concepts into clear explanations tailored to portfolio managers, traders, and senior stakeholders.
Build trust through consistent, high-quality output and meeting commitments. Thorough work and sound conclusions.
Sharp instinct for identifying meaningful incremental improvements and opportunities.
Build deep partnerships with sophisticated institutional clients; comfortable engaging at senior levels.
Strong written/verbal skills; produce compelling research, presentations, and proposals.
Experience & Education:
Experience: 6+ years in execution consulting, electronic trading, quantitative trading research, or TCA/analytics (agency brokerage, sell-side execution, or buy-side trading).
Education: Bachelor's required; Master's preferred in quantitative discipline (Math, Statistics, Physics, CS, Engineering, Quant Finance).

工作职责

Key Responsibilities:

Client Advisory:
Serve as trusted electronic and algo execution advisor to priority regional and globally based institutional clients across APAC markets.
Conduct regular execution reviews with TCA analysis and recommend actionable changes to algorithm selection, parameter configuration, and routing strategies.
Partner with sales and coverage to support algo wheel onboarding, client retention, and broker algo execution rankings.
Respond to bespoke client data and analysis requests.
TCA and Data Analysis:
Perform hands-on data analysis to evaluate execution quality, slippage drivers, venue performance, and market impact.
Build and maintain analytics tools, automated dashboards, performance attribution models, and scenario simulations backed by data.
Conduct periodic analysis on market microstructure, liquidity dynamics, impact of regulatory changes, and regional market events.
Quantify platform performance through KPIs; identify statistically meaningful optimization opportunities.
Collaborate with global execution consulting teams across regions to ensure methodological consistency, share best practices, and leverage data, tools, and expertise.
Product Development:
Collaborate with quant researchers, algo developers, and technology teams to translate client feedback into product enhancements.
Drive continuous improvement cycle: identify opportunities, design algo experiments, measure outcomes, iterate.

优先资格

Master's degree in a quantitative discipline (Math, Statistics, Physics, CS, Engineering, Quant Finance) preferred.

AI 洞察

优缺点分析

优点

  • High impact on institutional clients' trading performance, directly linking quantitative analysis to real-world execution outcomes.
  • Global platform: access to Nomura/Instinet's integrated network, collaboration with teams across regions, and exposure to a wide range of asset classes.
  • Technical depth: work with advanced TCA tools, market microstructure research, and algorithmic models, enhancing both quantitative and domain skills.
  • Client exposure: build deep relationships with sophisticated institutional clients and senior stakeholders, creating a strong professional network.
  • Fast-paced trading environment requiring high accuracy and responsiveness, especially during market hours.
  • Complex quantitative demands: requires solid statistics and programming foundations, and continuous learning on evolving market microstructure and regulations.
  • Client pressure: managing expectations and delivering actionable insights under time constraints while maintaining high-quality output consistently.
  • This role is ideal for individuals with a quantitative background who enjoy applying technical skills to solve real-world trading problems and have strong client-facing abilities.

缺点 / 挑战

暂无明显挑战项

角色解读

  • Career progression from senior consultant to team lead or regional head of execution consulting within Global Execution Services.
  • Opportunities to expand into quantitative research or product development roles, leveraging deep market microstructure and algorithmic trading expertise.
  • With Nomura's global network, potential for cross-regional roles and involvement in innovative electronic trading initiatives.
  • Serve as a trusted advisor to institutional clients on algorithmic execution, conducting regular execution reviews with TCA analysis and recommending actionable changes to algo selection and routing strategies.
  • Perform hands-on data analysis on execution quality, slippage drivers, venue performance, and market impact to derive actionable insights and build automated dashboards.
  • Collaborate with quant researchers and technology teams to translate client feedback into product enhancements, designing and iterating on algo experiments.
  • Conduct periodic analysis on APAC market microstructure, liquidity dynamics, and regulatory impacts to inform both client advice and product development.
  • Strong quantitative foundation: probability, hypothesis testing, regression, and time-series analysis, applied to trading data.
  • Technical proficiency: Python for data manipulation and statistical analysis, SQL for querying, and experience with automated pipelines and dashboards.
  • Deep domain expertise: understanding of algo strategies (VWAP, TWAP, IS, liquidity-seeking), TCA interpretation, and Asian equity market mechanics.
  • Exceptional communication: ability to simplify complex quantitative concepts for portfolio managers, traders, and senior stakeholders.

申请策略

  • Tailor your CV to emphasize both technical rigor and client-facing outcomes, using metrics to quantify impact.
  • Research Nomura/Instinet's electronic trading product suite and recent developments in APAC market structure to show genuine interest and preparedness.
  • Highlight hands-on experience with TCA analysis, algorithmic trading strategies, and execution consulting projects, quantifying impact (e.g., reduced slippage, improved algo selection).
  • Showcase Python and SQL skills with specific examples of building dashboards, automated data pipelines, or statistical models.
  • Demonstrate familiarity with APAC equity market structure, including auction mechanisms, venue landscapes, and regulatory frameworks.
  • Emphasize client-facing achievements, such as building relationships, retaining clients, or delivering actionable insights that improved trading outcomes.
  • Strengthen Python data analysis libraries (pandas, NumPy, statsmodels) and SQL for complex queries, as well as data visualization tools.
  • Deepen understanding of market microstructure and TCA metrics

面试指南

  • Use the STAR method (Situation, Task, Action, Result) to structure behavioral questions, focusing on quantitative impact and client outcomes.
  • For technical questions, show your problem-solving process: define the problem, outline data sources, choose appropriate statistical tests, and conclude with actionable recommendations.
  • For client communication questions, emphasize simplifying complex ideas, understanding the client's perspective, and building trust through consistency.
  • How would you explain TCA analysis to a portfolio manager who is not quantitative?
  • Describe a time you used data analysis to recommend a change in algorithm selection or routing strategy. What was the outcome?
  • What are the key differences between VWAP and TWAP algorithms, and under what conditions would you recommend one over the other?
  • How do you handle conflicting requirements from internal teams and clients when developing product enhancements?
  • What statistical methods would you use to detect whether a particular venue is contributing to execution shortfall?

职位点评

73
综合评分

Senior algo execution consultant at a global bank; high technical depth and compensation, but demanding pace and moderate work-life balance.

从薪资福利、成长空间、工作节奏和岗位方向综合评估，方便横向比较。

更适合这类人
This role is best for candidates who prioritize technical skill development, career growth, and client impact over work-life balance.
表现最好
成长发展
相对薄弱
工作生活
薪资福利80
成长发展92
工作生活45
使命价值55

薪资福利

80较高

This position at a top-tier financial institution offers competitive compensation and stability, although the salary range is not explicitly disclosed in the job description.

薪资信号未披露（AI估算：120K-250K/月）

成长发展

92较高

The role provides exceptional opportunities for quantitative skill development, exposure to cutting-edge algorithmic trading technology, and continuous learning in market microstructure.

技术前沿主流现代技术
技术栈Python、SQL、TCA、Algorithmic Trading、Market Microstructure
业务类型profit_center

工作生活

45较低

The role likely involves a demanding schedule in a dynamic trading environment, with no explicit work-life balance perks mentioned in the job description.

工作模式未明确
办公地点市区核心地段
加班情况未提及（无法判断）

使命价值

55较低

The role contributes to institutional trading efficiency and market quality, but it is not directly aligned with broader social welfare or mission-driven objectives.

行业发展稳定成熟行业
社会影响中性/一般
创新程度积极采用新技术

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