Data Scientist

We are looking for a motivated and skilled Data Scientist with 2-5 years of experience to join our team in the Investment and Wealth Management domain. The candidate will analyze complex financial data, build advanced models, and deliver insights that drive strategic decision-making. You will collaborate with cross-functional teams, leveraging cutting-edge tools to improve portfolio performance, risk assessment, and client satisfaction.

Key Responsibilities:

1.Data Analysis & Modelling:

Analyse structured and unstructured financial datasets to extract meaningful insights.
Build and implement predictive models, statistical analyses, and machine learning solutions for investment optimization and wealth management strategies.
Work on time series forecasting, risk modelling, and portfolio performance analytics.

2. Research & Development:

Optimize strategies for asset allocation.
Conduct exploratory data analysis (EDA) and hypothesis testing.

3. Data Engineering & Integration:

Work with large financial datasets, ensuring data quality, cleansing, and integration from multiple sources (internal systems, market data providers, etc.).

Required Skills & Qualifications:

Education: Bachelors/Masters degree in Computer Science, Data Science, Statistics, Economics, Mathematics, , or a related quantitative field.
Experience: 2-5 years of experience in data science, preferably in the Investment and Wealth Management or financial services domain.

Experience with NLP, predictive analytics, or optimization techniques for financial applications is a plus.

Certifications such as CFA Level I/II, FRM, or advanced data science certifications are a plus.

Technical Skills:

Proficiency in Python or R for data analysis, machine learning, and statistical modeling.
Hands-on experience with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.
Strong SQL skills for querying and managing large datasets.
Experience with data visualization tools like Tableau, Power BI, or Python libraries (Matplotlib, Seaborn).
Familiarity with cloud platforms (AWS, Azure, or GCP) and data pipeline tools is a plus.

Other Skills:

Strong problem-solving and analytical skills.
Excellent communication and storytelling abilities to explain complex findings to non-technical stakeholders.
Ability to work collaboratively in a dynamic, fast-paced environment.

Translate High level business requirement to Technical requirements and develop specifications.

Choose algorithm for Machine learning, Data science implementation and develop implementation to be hosted in AWS, IBM Cloud or other cloud based platforms.

Design and develop any APIs and/or SDKs required to support these services

What We Offer:

Opportunity to work in a dynamic environment at the intersection of finance and technology.
Exposure to cutting-edge data science techniques and large-scale financial data.
Competitive compensation and benefits package.
A collaborative and growth-oriented work culture.

Strongly Prefer

• Experience in Developing Specification from broad business requirements
• Experience in Tensor Flow or other Google cloud AI
• Comfortable working in a Dev Ops/CI environment
• Code (provide GitHub link or smart contract addresses) that demonstrates your ability to build or architect Role & responsibilities

Preferred candidate profile

Perks and benefits