Risk Business Analyst (Risk Modeling & Strategy)

Unchain Data; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

MEXC is a global cryptocurrency exchange seeking a senior risk data scientist to advance risk feature mining, model development, and data-driven decision making. You will collaborate with algorithm and product R&D teams to improve risk control systems while handling high-pressure, fast-paced environments.

Ideal candidates have 5+ years in risk model development within crypto or fintech, strong SQL/Python skills, and experience with XGBoost/LightGBM and deep learning for feature engineering.

Qualifications

• Bachelor's degree or above in Mathematics, Statistics, Computer Science or related majors; minimum 5 years of model development experience in finance or crypto risk.
• Proficient in SQL, Python, Spark or R; experience with LR, XGBoost, LightGBM and deep learning for feature engineering.
• Solid understanding of full lifecycle risk management and designing risk control strategies.
• Strong analytical thinking, data sensitivity, independent problem-solving and motivation.

Responsibilities

• Conduct in-depth risk feature mining, risk strategy formulation, iteration and daily maintenance, and support complaint data analysis.
• Communicate requirements, explain solutions, and provide data-driven suggestions to resolve business pain points.
• Respond to online emergency risk incidents rapidly, locate root causes, and coordinate cross-team resources.
• Iterate and optimize risk systems and ML models with R&D teams to improve stability and infrastructure.

Skills

SQL

Python

Spark

R

Logistic Regression

XGBoost

LightGBM

Deep Learning

Education

Bachelor's degree or above in Mathematics/Statistics/CS

Tools

SQL

Python

Spark

R

Job description

About MEXC

Founded in 2018, MEXC is a global cryptocurrency exchange serving millions of users worldwide. We are committed to building a secure, efficient, and accessible platform for digital asset trading.

MEXC is known for offering some of the lowest trading fees in the market, deep liquidity across a wide range of assets, and fast access to trending tokens. Our platform provides a comprehensive suite of services including spot trading, derivatives, staking, and other digital asset products designed for both retail and institutional users.

Built on high-performance infrastructure and a user-first philosophy, MEXC delivers fast execution, strong market depth, and a seamless trading experience for global users.

At MEXC, we believe the best platforms are built through constant improvement and open collaboration. We value direct communication, practical thinking, and individuals who take ownership of their ideas. Teams are encouraged to share insights, challenge assumptions, and contribute to how the platform evolves.

As the digital asset industry continues to evolve, we remain focused on innovation, transparency, and global expansion while building a trusted platform for the next generation of financial technology.

Responsibilities

• Conduct in-depth risk feature mining, risk strategy formulation, iteration and daily maintenance, and support complaint data analysis.
• Communicate and align business requirements continuously, explain technical solutions, and provide data-driven quantitative suggestions to resolve business pain points.
• Respond to online emergency risk incidents rapidly, locate root causes efficiently, and coordinate cross-team resources to achieve quick risk loss control.
• Iterate and optimize risk systems and machine learning models together with algorithm and product R&D teams, improve overall risk control system stability and infrastructure capability.

Requirements

• Bachelor's degree or above in Mathematics, Statistics, Computer Science or related majors; minimum 5 years of working experience in model development within banking, crypto exchange, consumer finance, fintech or top internet risk control teams.
• Proficient in at least one data analysis and modeling tool including SQL, Python, Spark or R; experienced in data mining and model building with LR, XGBoost, LightGBM and deep learning neural network algorithms for feature engineering and risk model iteration.
• Solid understanding of full lifecycle risk management and mature experience in designing and optimizing risk control strategies for different business scenarios.
• Strong logical thinking, high data sensitivity, independent problem-solving capability and self-motivation.
• Able to work under high pressure, detail-oriented, proactive in exploring new technical methods and business solutions.

Why Join Us

At MEXC, we believe people do their best work when they are trusted with real responsibility and given the freedom to grow.

• Ownership & Initiative – We encourage individuals to take initiative, lead projects, and contribute ideas that help shape how we build and improve the platform.
• Learning Culture – We regularly organize internal training programs, knowledge-sharing sessions, and learning initiatives where team members can both develop new skills and share their expertise with others.
• Ideas That Matter – New ideas are welcomed and discussed openly. Team members have a real voice in shaping which proposals move forward, and meaningful contributions are recognized and rewarded.
• Room to Grow – As a rapidly expanding global exchange, roles evolve quickly and individuals often have opportunities to expand their scope and take on greater responsibilities.
• Global Collaboration – Work with colleagues across different regions and cultures while contributing to a platform used by millions of users worldwide.