Senior Risk Data AnalystHytech • Kuala Lumpur, Kuala Lumpur, Malaysia

Senior Risk Data Analyst

Hytech • Kuala Lumpur, Kuala Lumpur, Malaysia

30+ hari lalu

Penerangan pekerjaan

Overview

Hytech is a global management consulting firm headquartered in Australia and Singapore, specializing in digital transformation for fintech and financial services companies. We empower our clients with comprehensive consulting solutions and robust middle- and back-office support, enabling streamlined operations and forward-thinking strategies. With a team of over 2,000 professionals, Hytech serves a diverse portfolio of clients across multiple regions.

Role : Senior Data Analyst in the Risk Control Department. You will drive data-informed decisions to manage trading risk and optimize client performance monitoring, combining advanced data analytics with business understanding to support real-time decisions for the Dealing and Risk teams.

Key Responsibilities

Monitor client trading flows and execution in real-time to detect irregular activities or abnormal risk profiles.
Conduct daily analysis of client accounts, margin usage, leverage, and P&L to support operational risk controls.
Develop and maintain comprehensive data reports and dashboards for internal stakeholders (Dealing, Risk, Management).
Design and automate risk monitoring mechanisms, including alerts and triggers based on market or client behavior patterns.
Analyze trading patterns and historical behavior to segment clients and identify emerging risk categories.
Collaborate with Data Engineering to maintain and optimize data pipelines, ensuring reliability and data integrity.
Provide market intelligence, including on-chain data analysis, to highlight potential market risks and opportunities.
Liaise with cross-functional teams (Product, Compliance, Operations) to align business needs with data solutions.
Occasionally communicate with external vendors or liquidity providers to support trading risk data initiatives.

Qualifications

Bachelor’s or Master’s degree in a quantitative field such as Financial Engineering, Statistics, Mathematics, Economics, or Computer Science.

3+ years of experience in data analysis, preferably within trading, brokerage, or financial risk control functions.

Solid understanding of trading products (e.g., FX, CFDs, derivatives) and client trading behavior.

Proficiency in SQL (including complex queries, joins, and performance optimization).

Experience in Python for data processing, statistical analysis, and automation scripting.

Advanced experience with BI tools such as Power BI is a plus.

Strong business acumen with the ability to translate complex datasets into clear, actionable insights.

Excellent communication skills in English and Chinese; capable of conveying technical concepts to non-technical stakeholders.

Able to work independently, manage multiple projects, and thrive in a fast-paced, dynamic environment.

What We Offer

A high-impact role within a data-driven, risk-conscious trading environment.

Exposure to fast-paced financial markets, with access to real trading data and decision-making processes.

A collaborative and experienced team across dealing, risk, and data disciplines.

Career development opportunities in financial analytics, trading intelligence, or risk strategy.

Flexible working environment with cross-border collaboration and autonomy.

The opportunity to shape and enhance the data infrastructure of a growing fintech-driven organization.

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