Quantitative Analyst I Brokerage Firm

Arvion Services; Jakarta Pusat; On-site; IDR 320,000,000 - 700,000,000; Full time

Job summary

Arvion Services seeks a talented Quantitative Analyst to design, develop, and validate models and tooling underpinning best execution across asset classes. You will operate at the intersection of market microstructure, statistics, and software engineering to measure execution quality and optimize routing and algorithm selection.

The ideal candidate holds a Master’s or PhD in a quantitative field and 3+ years in a related role (FX or commodities), with strong Python skills and experience handling

Qualifications

• Master’s or PhD in Mathematics, Statistics, Physics, Computer Science, Financial Engineering, or Econometrics.
• 3+ years in a quantitative role covering FX or commodities, with exposure to execution, TCA, or market microstructure.
• Strong Python proficiency; experience with large datasets and clean, tested code.
• Excellent written and verbal communication skills.

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 sources of cost, latency, and information leakage.
• Build and maintain simulation and backtesting frameworks to evaluate execution algorithms and smart order routing under varied market conditions.
• Collaborate with traders and execution engineers to translate research into production improvements.
• Produce regular best execution reporting for internal stakeholders and investigate anomalies in execution quality.

Skills

Python

Statistics

Data analysis

Communication

Productionize research

Big data handling

Education

Master's or PhD in quantitative field

Tools

NumPy

pandas

scikit-learn

statsmodels

SQL

Parquet

kdb+

Job description

We are seeking a talented Quantitative Analyst to join our team. You will design, develop, and validate the models, analytics, and tooling that underpin our pursuit of best execution across asset classes. Working at the intersection of market microstructure, statistics, and software engineering, you will measure execution quality, optimise routing and algorithm selection, and provide the evidence base that demonstrates the firm is delivering the best possible outcome for every 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.