Hybrid Data Analyst: FX, Fintech & Crypto Insights

JF Talent Consulting Group (Global); Kuala Lumpur; Hybrid; MYR 60,000 - 80,000; Full time

Benefits offered by this job

Annual leave - 12 days

Medical insurance: Allianz

Transport allowance (RM300/month)

Health and wellness benefits (max RM1200/year)

Free-flow snacks and beverages

Birthday leave and celebrations

Job summary

A leading fintech company in Kuala Lumpur is seeking a Data Analyst to analyze large datasets and develop actionable insights. The ideal candidate will have a bachelor's degree in a related field and proven experience in data analysis, preferably within the fintech or forex sectors. Proficiency in tools like Python, R, SQL, and visualization software such as Tableau and Power BI is essential. This role offers a hybrid working environment with benefits including flexible working hours, training opportunities, and annual leave.

Qualifications

• Proven experience as a Data Analyst, preferably in Fintech or Forex.
• Strong understanding of forex markets and financial instruments.
• Ability to work with large datasets and derive meaningful insights.

Responsibilities

• Analyze large datasets related to forex trading, market trends, and customer behavior.
• Develop and maintain dashboards, reports, and visualizations.
• Collaborate with teams to provide data-driven recommendations.
• Monitor forex market trends and predict future trading patterns.
• Conduct data cleansing, validation, and preparation.
• Support the development of forecasting models.
• Automate data collection and reporting processes.
• Ensure compliance with regulatory requirements.

Skills

Data analysis

Problem-solving

Critical thinking

Communication skills

Education

Bachelors degree in Data Science, Statistics, Finance, Economics, or a related field

Tools

Python

R

SQL

Excel

Tableau

Power BI

Job description

About the job Data Analyst | CFD FX | Fintech | Crypto

About Our Client

One of the fastest-growing CFD brokers, with growth to nearly 250 employees since 2022. Holding licenses of CYSEC (Cyprus Securities and Exchange Commission), FSCA (Financial Sector Conduct Authority), and ASIC (Wholesale). With international offices in Hong Kong, Taiwan, Malaysia, Thailand, Indonesia, India, and Cyprus.

• Annual leave - 12 days
  
• Additional leave: marriage leave, compassionate leave, maternity leave, paternity leave
• Medical insurance: Allianz insurance and panel clinic
• Medical healthcare plan: Panel clinic medical claim
• Working Hour:
  • 5-days work with flexitime to ensure work-life balance
  • Hybrid working arrangements
  • Dress Code: Smart casual attire
• Office location: Prime location which is easily accessible via public transport or driving
• Additional Benefit Coverage:
  • Transport allowance (RM300/month) after probation confirmation
  • Health and wellness flexible benefits (max RM1200/year)
  • Teambuilding activities, festive seasons celebration, annual dinners, and lunch treat
  • Free-flow snacks and beverages at the pantry
  • Birthday leave and celebrations
• Training and development

Responsibilities:

• Analyze large datasets related to forex trading, market trends, and customer behavior to uncover actionable insights.
• Develop and maintain dashboards, reports, and visualizations to monitor key performance indicators (KPIs).
• Collaborate with trading, marketing, and product teams to provide data-driven recommendations.
• Monitor forex market trends, identify risks, and predict future trading patterns.
• Conduct data cleansing, validation, and preparation to ensure data integrity and accuracy.
• Support the development of forecasting models and algorithms to enhance trading strategies.
• Automate data collection and reporting processes for improved efficiency.
• Ensure compliance with regulatory requirements and data privacy standards.

Requirements:

• Bachelors degree in Data Science, Statistics, Finance, Economics, or a related field.
• Proven experience as a Data Analyst, preferably in Fintech or Forex.
• Proficiency in data analysis tools (e.g., Python, R, SQL, Excel).
• Experience with visualization tools (e.g., Tableau, Power BI).
• Strong understanding of forex markets and financial instruments.
• Excellent problem-solving, critical thinking, and communication skills.
• Ability to work with large datasets and derive meaningful insights.