Senior Data Scientist

Good day,

We have immediate opportunity for Senior Data Scientist

Job Role: Senior Data Scientist

Job Location: Singapore

Experience- 6 Years - 10 Years

Notice Period: Immediate to 30 days.

About Company:

At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honoured with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,700+ and has 55 offices in 20 countries within key global markets. For more information on the company, please visit our website or LinkedIn community.

Diversity, Equity, and Inclusion

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and an affirmative-action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.

All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

Team and Position

We are seeking a talented Data Scientist to join our dynamic Capital Market IT (CMI) department!

As a Data Scientist, you will be responsible for participate in development, training,deployment and management of data quality monitoring models using ML and GenAI. The person should be an experienced data scientist and shall also have the mindset to keep improvement of the model development process. You will work autonomously and follow a continuous improvement approach, ensuring high-quality code that adheres to our design, norms, and standards. You will be accountable for delivering solutions that meet both functional and non-functional requirements, taking into account the principles of Agile development.

CMI involves technology solutions and systems used in financial markets for trading, investment, and related activities. This includes electronic trading platforms, risk management systems, market risk, counterparty risk, algorithmic trading, data analytics, and Regulatory measures. The use of advanced technologies like API’s, artificial intelligence and cloud solutions are also becoming increasingly prevalent in capital markets to enhance efficiency and decision-making processes.

Main Responsibilities

• Identify and create relevant features from transaction data to improve model performance.
• Perform feature selection and dimensionality reduction to enhance model efficiency.
• Develop, train, and evaluate machine learning models using transaction data.
• Implement cross-validation and hyperparameter tuning to optimize model performance.
• Monitor model performance over time to detect and address issues such as data drift and model degradation.
• Implement model retraining and updating processes to maintain model accuracy and relevance.
• Develop and execute strategies to integrate Generative AI tools and techniques into transaction data monitoring processes, improving efficiency and reducing development time.
• Design test and refine prompts for LLM to improve accuracy , reliability and efficiency.
• Identify opportunities to augment data science workflows using GenAI, enhancing model development, data analysis, and feature engineering capabilities.
• Collaborate with data engineers, software developers, and business analysts to ensure seamless integration of data quality monitoring processes.
• Work closely with domain experts to understand transaction data requirements and business rules.
• Effectively communicate data quality findings, model performance, and project progress to stakeholders.
• Provide actionable insights and recommendations to improve data quality and model performance.
• Maintain comprehensive documentation of data quality monitoring processes, machine learning models, and generative AI models and processes.
• Document data preprocessing steps, feature engineering techniques, and model evaluation results.
• Stay updated with the latest advancements in machine learning, generative AI, and data quality monitoring techniques.
• Experiment with new tools, technologies, and methodologies to enhance data quality monitoring and model performance.

Qualifications and Profile

• Candidates should have minimum 8 years experience in relevant activities.

Technical

• Proficiency in languages such as Python, R, SQL, and Java or Scala.
• Strong understanding of statistical methods and concepts.
• Experience with data manipulation libraries (e.g., pandas, dplyr) and data analysis tools.
• Knowledge of machine learning algorithms and frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
• Expertise in analyzing and forecasting time series data.
• Ability to create visualizations using tools like Matplotlib, Seaborn, ggplot2, or Tableau.
• Big Data Technologies: Familiarity with big data tools such as Hadoop, Spark, and distributed computing.
• Database Management: Experience with relational databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra).
• Docker/Kubernetes, Kafka, Spark, MongoDB
• Data Wrangling: Skills in cleaning, transforming, and preparing data for analysis.
• Knowledge on implementing ML and GenAI solutions AWS (Bedrock, SageMaker, etc..)

Functional

• Experience in supporting capital market applications and trading systems, ideally within the dynamic landscape of Market Risk/Front Office operations with a commendable grasp of financial products (Treasury, FX, Credit, IRD, Bonds, RSF, etc.)

Nice to Have

• Experience in Business intelligence tools
• Experience in working with application monitoring and automation,
• Experience in Banking environment, especially in Capital Market IT

Other Professional Skills and Mindset

• Excellent communication and interpersonal skills to effectively collaborate with diverse teams.
• Excellent problem-solving and analytical skills.
• Ability to work under pressure.
• Appetite to follow technology trend and participate to communities.
• Eagerness to learn and adapt to new technologies.
• Strong perseverance and diligence towards attaining goals and effective time management
• Passion for sharing expertise and grow team members’ skills.

Autonomous, self-motivated and excellent team player