Vacancies at Ovations Technologies

• We are looking for an experienced Senior Data Scientist with strong AI/ML expertise to join our dynamic team in the Banking/FinTech space. This role is ideal for someone who thrives in data-driven environments, enjoys solving complex problems, and has experience delivering production-ready AI/ML solutions.

Minimum Requirements

Experience

• 5 or more years of relevant work experience as a Data Engineer/ Data Scientist
• 4–6+ years applied data science; 2+ years owning production AI/ML.
• At least 3 years experience within a non-traditional FinTech, Banking or Financial Services Sector Consistent improvement CI/CD applications for collaborations and enhancement to drive develop once and deploy to many mindset through container repositories
• Experience in Data Science and Data Analysis with a specific focus on AI/ ML models within banking, finance and/or telecommunications industry
• Proven delivery of automated decisioning (recommendation/propensity/fraud/forecasting) with quantified business impact. Experience in Data Engineering within banking or financial services industry Understanding of enterprise-scale systems and technologies used in data infrastructures
• Experience of working in an Agile/DevOps environment
• GitHub or GitLab experience for CI/CD
• Consistent improvement CI/CD applications for collaborations and enhancement to
• drive develop once and deploy to many mindset through container repositories
• Proficiency in working with Python and its relevant libraries SAS or R / Scala for data
• clean up and advanced data analytics - Working knowledge in Hadoop, Apache Spark and related Big Data technologies
• (MapReduce, PIG, HIVE) - Demonstrated experience utilizing software tools to query and report data and being
• software agnostic - Highly proficient in database management systems like Postgres, Oracle, Mongo,
• MSSQL - Experience in data analysis and management, business performance management
• and/or reporting within the financial sector or banking industry - Experience working in a medium to large organization - Experience in ecommerce and electronic payment business is advantageous - Experience working across global locations/ regions and have a grasp of political, social, infrastructure and integrity challenges
• Proficiency in working with data engineering capabilities that leverages both cloud
• (Azure, GCP or AWS) and on-premise infrastructure. - CI/CD orchestrations and repository - Proficient in working with open-source languages such as Python, Jupyter Notebook,
• R / Spark - Scala and others to drive optimized data engineering and machine
• learning best practise frameworks - Strong analytical skills with ability to automate reports that tells a story through
• visualization by leveraging standard enterprise BI tools like Power BI, Data Studio,
• Elastic Search-Kibana and many others - Working knowledge in Hadoop, Apache Spark and related Big Data technologies and
• their applications in data engineering and MLOps pipelines - Highly proficient in data warehouse and management for RDBMS and latest Big Data
• capability - Ability to design, deploy and maintain machine learning and predictive model for different business use cases
• Data Engineering, Mining and analytics - AI/ Machine learning for predictive modelling and other relevant use cases - Payment, E-Commerce and digital platforms - Understanding of FinTech, banking, microfinance and payment business

Qualifications

• Minimum of 4-year tertiary degree in Computer Science, Mathematics, Statistics, Data Science or related field
• Masters Degree in a Data Science, AI/ML, Statistical or related field (preferred)
   

go to method of application »

• We are seeking highly skilled Quantitative Analyst Consultants to join our Global Markets Portfolio. This role is ideal for professionals with strong quantitative modelling, trading systems, and derivatives experience who thrive in fast-paced financial markets environments.
• You will play a key role in ensuring trading strategies, analytics, and integration solutions align with broader business objectives and market requirements.

Key Responsibilities

• Collaborate with cross-functional teams to analyse and document existing non-linear trading functionality and its business usage
• Analyse the financial costs of risk and uncertainty
• Lead future trading integration solution design through existing APIs and backend integrations
• Act as a liaison between technical teams and business stakeholders to ensure smooth project execution
• Support inflight trading and quantitative analytics initiatives
• Provide expert support and training to internal teams and platform users
• Conduct product reviews and recommend improvements aligned to market trends and business needs

Qualifications

One or more of the following:

• BSc Mathematical Sciences (Computational Science)
• BSc Financial Engineering
• BSc Actuarial Science & Financial Mathematics
• BEng Engineering
• CQF – Certificate in Quantitative Finance
• CFA – Chartered Financial Analyst
• FRM – Financial Risk Manager

Required Experience & Skills

Quantitative & Trading Experience

• Cross Asset Trading & Risk (CATR) – Quantitative Analysis
• Derivatives Trading (Volatility)
• X Valuations & Analytics
• Trading Platforms

Strong experience with:

• Front Arena
• Murex
• Calypso

Technical Skills

• Python
• C++
• C#
• SQL
• VBA
• R
• Matlab
• Java

Key Competencies

• Strong analytical and problem-solving capabilities
• Deep understanding of financial modelling and trading systems
• Knowledge of risk management practices and regulatory requirements
• Strong project delivery and stakeholder management experience
• Excellent communication and interpersonal skills
• Ability to lead cross-functional teams and manage multiple initiatives
• Strategic thinking with strong business alignment capability
• Adaptability in changing market and technology environments