Quantitative Analyst I Brokerage Firm

Arvionservices; Jakarta Pusat; On-site; IDR 350,000,000 - 800,000,000; Full time

Job summary

Arvionservices seeks a quantitative analyst to design and validate models for transaction cost analysis, market impact, and routing performance. You will analyze large datasets, build backtesting suites, and collaborate with traders to translate research into live trading enhancements.

The role requires a Master's or PhD in a quantitative field, 3+ years of FX/commodities experience, and strong Python and data-science skills. Familiarity with cloud platforms and scalable data infra is a plus.

Qualifications

• Master's or PhD in a quantitative discipline such as Mathematics, Statistics, Physics, Computer Science, Financial Engineering, or Econometrics.
• 3+ years of relevant work experience in a quantitative role covering FX or commodities (or both).
• Strong proficiency in Python and data analysis.
• Experience with large datasets and production-quality code.

Responsibilities

• Develop and maintain quantitative models for transaction cost analysis (TCA), market impact, slippage, and venue/algorithm performance.
• Conduct rigorous statistical analysis on tick, order, and execution data to identify cost, latency, and information leakage.
• Build and maintain simulation and backtesting frameworks to evaluate execution algorithms and routing logic.
• Partner with traders and engineers to translate research into live trading improvements.
• Produce regular best execution reporting for internal stakeholders and investigate outliers.
• Research advances in execution science and assess practical application.
• Document findings clearly and present results to technical and non-technical stakeholders.
• Maintain rigorous standards of model validation, code quality, and documentation.

Skills

Python programming

Statistical analysis

Data interpretation

Education

Master's or PhD in quantitative discipline

Tools

NumPy

pandas

scikit-learn

statsmodels

Job description

We are seeking a talented Quantitative Analyst to join our team. You will design, develop, andvalidate the models, analytics, and tooling that underpin our pursuit of best execution acrossasset classes. Working at the intersection of market microstructure, statistics, and softwareengineering, you will measure execution quality, optimise routing and algorithm selection, andprovide the evidence base that demonstrates the firm is delivering the best possible outcome forevery order.

What will you do:

• Develop and maintain quantitative models for transaction cost analysis (TCA), marketimpact, slippage, and venue/algorithm performance.
• Conduct rigorous statistical analysis on tick, order, and execution data to identify sourcesof cost, latency, and information leakage.
• Build and maintain simulation and backtesting frameworks to evaluate executionalgorithms, smart order routing logic, and venue selection under varied market conditions.
• Partner with traders, execution engineers, and brokers to translate research into improvements in live trading and order routing systems.
• Produce regular best execution reporting for internal stakeholders and investigate outliersor deteriorations in execution quality.
• Research advances in execution science — optimal trading, market impact modelling, andmachine learning applied to microstructure — and assess their practical application.
• Document research findings clearly and present results to both technical and nontechnical stakeholders.
• Maintain rigorous standards of model validation, code quality, and documentation acrossall execution analytics work.

Who are we looking for:

• Master's or PhD in a quantitative discipline such as Mathematics, Statistics, Physics,
• Computer Science, Financial Engineering, or Econometrics.
• 3+ years of relevant work experience in a quantitative role covering FX or commodities (or
• both), ideally with exposure to execution, TCA, market microstructure, or algorithmictrading.
• Strong proficiency in Python; familiarity with libraries such as NumPy, pandas, scikit-learn,and stats models.
• Solid grounding in probability theory, statistics, linear algebra, and stochastic calculus.
• Experience working with large datasets and writing clean, performant, well-tested code.
• Demonstrated ability to translate research into production systems.
• Excellent written and verbal communication skills.

Preferred Qualifications

• Hands‑on experience applying machine learning techniques to high‑frequency, orderbook, or execution data.
• Deep knowledge of market microstructure, execution algorithms, and smart order routingacross lit, dark, and auction venues.
• Exposure to cloud platforms (AWS, GCP, or Azure) and modern data infrastructure (SQL,Parquet, kdb+).

Skills & Attributes

• Analytical rigour: structured thinker who can decompose ambiguous problems into testablehypotheses.
• Intellectual curiosity: eager to explore new methods and challenge prevailing assumptions.
• Attention to detail: careful with data quality, model assumptions, and numerical precision.
• Pragmatism: balances theoretical elegance against real-world constraints and deadlines.
• Collaborative: thrives in a small, cross‑functional team and welcomes constructivechallenge.