Data Scientist

About Job Here is how you will contribute:
Background and experience required: (Years of Experience and Industry Experience)

Preferred Qualifications:

• Familiarity with cloud technologies and their application within the financial services sector.

• Strong background in machine learning, particularly in time series analysis and neural networks

• Experience with high-frequency trading data and market microstructure.

• Proficiency in Python and familiarity with AWS services, especially Sage Maker.

• Ability to work with large datasets and perform data normalization.

• Knowledge of technical indicators and their application in equity markets.

• Strong analytical and problem-solving skills.

• Excellent communication skills to collaborate with cross-functional teams.

Experience:

• Minimum 5-7 years of experience in data analytics, machine learning, quantitative analysis.

• Proven experience working in complex financial and applications (e.g., trading platforms, payment systems, risk management systems).

• Strong understanding of financial products. capital markets, derivatives, and treasury operations.

• Strong understanding of Equities and trading

• Hands-on experience with coding in and the use of visualization tools

• Must have experience with Machine Leaming

• Must have knowledge of Market Microstructure

Must-have Skills (Mandatory Skills):

Technical Skills:

• Proficiency in SQL, Python, AWS, and Quick Sight: experience working with databases for data analysis

• Knowledge of statistical and ML (machine learning) techniques

• Experience with ticketing Systems Azure DevOps (ADO). ServiceNow), Change management tools

• 5+ Years of experience within global markets

• Proficiency in Machine Learning A MUST

• Proficiency in trading algos A MUST

Soft Skills:

• Strong analytical and problem-solving skills with the ability to troubleshoot issues in high-pressure environments.

• Excellent communication and interpersonal Skills, with the ability to interact with both technical teams and business stakeholders.

• Strong organizational skills with attention to detail and the ability to manage multiple priorities.

• and able to independently and as part of a team.

Beneficial Skills (Desired Skills):

• Deep understanding of financial products, trading systems, pre- and post-trade, and high frequency data techniques

Advantage Zensar
We are a technology consulting and services company with 11, 800+ associates in 33 global locations. More than 130 leading enterprises depend on our expertise to be more disruptive, agile, and competitive. Our success in South Africa for 24 years comes from our people-first focus that emphasizes empowerment from the ground up.
Zensar is recognized as proudly South African in 2022 and are the Top Employer in 2024,2023 and 2022 in South Africa by the Top Employer Institute. Zensar is a certified B-BBEE Level 2 contributor and partners with MICT, SETA, Education Africa, and Tomorrow Trust. We strongly believe in the power of communities and leveraging diversity to solve problems together.
Zensar is a place where you are free to express yourself in an environment that values individuality, nurtures development and is mindful of wellbeing. We put our people and customers at the center of everything that we do. Our core values include: