Junior Data Scientist
5 days ago
At Silent Eight, we develop our own AI-based products to combat financial crimes that enable things like money laundering, the financing of terrorism, and systemic corruption. We’re a leading RegTech firm working with large international financial institutions such as Standard Chartered Bank and HSBC. Join us and help make the world a safer place
Are you an aspiring Data Scientist ready to make a difference in the world of Anti-Money Laundering (AML) and Know Your Customer (KYC) compliance? We're looking for a Junior Data Scientist to join our SaaS company and play a crucial role in developing cutting-edge models to address red flags and ensure compliance with AML and KYC regulations. If you have a passion for data analysis, a strong foundation in machine learning, and an eagerness to tackle complex challenges, we want to hear from you
**Responsibilities**:
- Collaborate with cross-functional teams to identify and prioritize AML and KYC compliance challenges
- Utilize advanced data analysis and machine learning techniques to interpret data and uncover actionable insights, patterns, and anomalies
- Develop and fine-tune machine learning models that effectively address red flag issues related to AML and KYC compliance
- Prepare and present clear and concise findings to both technical and non-technical stakeholders, ensuring that insights are effectively communicated and understood
- Stay up-to-date with the latest developments in data analysis, machine learning, and AML/KYC compliance regulations
**Qualifications**:
- Bachelor's degree in Data Science, Computer Science, Statistics, or a related field
- Strong analytical and problem-solving skills, with meticulous attention to detail
- Proficiency in data analysis tools and machine learning languages (e.g., Python, R, SQL)
- Solid understanding of statistical analysis and data visualization
- Exceptional communication skills to convey complex insights effectively to diverse audiences
- Ability to work collaboratively in a team-oriented environment
- A proactive attitude and an eagerness to learn and adapt to new challenges, demonstrating a growth mindset
- Prior experience or internships in data analysis or data science are a plus, particularly in the context of AML and KYC compliance
- Knowledge and experience in developing machine learning models for red flag detection in AML and KYC processes would be highly advantageous
**Our culture**
**You will be co-creating our business solutions**
We believe that your feedback allows us to create the best solutions as well as adjusted work culture. You will have a real impact on the growth of the company and the product we develop.
**Experienced team**
We aren’t your run-of-the-mill tech start-up. At Silent Eight, everyone is a leader in their own field with perspective and experience shared across teams and departments.
**Development-centric**
Because learning never ends, we empower our employees to invest in themselves. We provide a range of resources such as paid Development Days, in-house training, lunch-and-learns, etc. to make sure our employees are continuing to grow each day.
**Team building events**
We know that our success is only possible if we work together as a team. We are a group of passionate individuals united by a common mission. Therefore we like to meet together regularly to connect not just as coworkers, but as human beings, whether it’s at an offsite in Dubai or a weekly “Tea Time” to catch up.
**100% remote work forever**
We are not new to working remotely. In fact, we’ve been doing it since 2013 and we know how to make you feel supported, connected, and included. We believe that the freedom to choose where you work from is important to finding the journey that is right for you.
**Don’t wait Join our team today**
Silent Eight is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or other classification protected by applicable federal, state or local law.
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