Deskripsi Pekerjaan
Are you an visionary Algorithm Engineer with a deep passion for leveraging cutting-edge machine learning and AI to reshape the future of digital finance? Monee, a trailblazer in comprehensive digital financial products and services including mobile wallets, payment processing, credit, and banking, is searching for an Expert Algorithm Engineer to elevate our Credit division in Singapore.
At Monee, we believe in empowering millions through innovative, accessible financial solutions. This is an unparalleled opportunity to be at the forefront of this mission, designing, developing, and deploying sophisticated algorithms that drive our credit products. You will play a pivotal role in optimizing risk models, enhancing predictive accuracy, and creating robust, scalable systems that directly impact our business growth and customer experience across Southeast Asia and beyond.
As an Expert Algorithm Engineer focusing on Credit, you will influence critical strategic decisions by transforming complex data into actionable insights and intelligent credit solutions. We are looking for a highly analytical, detail-oriented individual with a proven track record in financial services or fintech, specifically in credit risk or lending. Join our dynamic team, where your expertise will not only solve intricate problems but also contribute to a culture of innovation and continuous improvement. If you thrive in a fast-paced environment and are eager to make a significant impact with your algorithmic prowess, Monee is where your next big challenge awaits.
Tanggung Jawab
- Lead the research, design, and development of advanced machine learning algorithms and statistical models for credit scoring, risk assessment, fraud detection, and portfolio optimization.
- Drive the end-to-end lifecycle of algorithmic solutions, from conceptualization and prototyping to deployment, monitoring, and continuous improvement in production environments.
- Collaborate closely with Product Managers, Data Scientists, and Risk Analysts to translate business requirements into technical specifications and innovative algorithmic solutions.
- Perform in-depth data analysis, feature engineering, and model validation to ensure the accuracy, robustness, and fairness of credit algorithms.
- Optimize existing credit models and algorithms for performance, scalability, and efficiency using cutting-edge techniques and technologies.
- Stay abreast of the latest advancements in AI, machine learning, and quantitative finance, evaluating and integrating new methodologies where appropriate.
- Mentor junior engineers and contribute to fostering a culture of technical excellence, knowledge sharing, and best practices within the team.
- Ensure compliance with relevant regulatory requirements and internal risk policies in all algorithmic developments.
Kualifikasi
- Master's or Ph.D. in Computer Science, Machine Learning, Applied Mathematics, Statistics, Quantitative Finance, or a related highly analytical field.
- 8+ years of progressive experience in algorithm engineering, data science, or machine learning, with a significant focus on credit risk, lending, or financial services.
- Expertise in developing and deploying complex machine learning models (e.g., deep learning, ensemble methods, time series analysis) in production.
- Strong programming proficiency in Python (with libraries like scikit-learn, TensorFlow, PyTorch), R, or Java.
- Solid understanding of statistical modeling, econometrics, and hypothesis testing.
- Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP).
- Proven ability to manipulate and analyze large, complex datasets using SQL and other data querying tools.
- Excellent problem-solving skills, with the ability to articulate complex technical concepts to diverse audiences.