Description
We are looking for driven, talented Software Engineers with knowledge of Machine Learning to help us build our SaaS-based anti-money laundering solutions, which help organizations fight financial crime! We are building cutting edge solutions that help reveal the truth for a safer world and stop money ending up in the hands of terrorists. You will join the Entity Resolution team within the ComplyData group, engineering machine learning models, tooling and data pipelines for our linked data ecosystem.
About us
Since launching in 2014, we have been on a mission to neutralize the risk of money laundering, terrorist financing, corruption, and other financial crime on a global scale. In that time, we have raised over $100m in funding, have four global hubs located in New York, London, Singapore and Cluj-Napoca and are backed by Ontario Teachers', Index Ventures, Balderton Capital and Goldman Sachs.
We aim to grow to over 350 employees in the next 12 months, as we continue to fight the good fight against financial crime and help make compliance less painful for our client base of over 500 enterprises across 75 different countries. We're leveraging game-changing tech to help us on our mission as the financial industry's leading source of AI-driven financial crime risk data and detection technology.
No fight against crime is complete without the right values, and we take ours very seriously!
Focus on the Team - We're Collaborative, Human, and Humble
Kaizen - We're Curious, Proactive and Agile
Deliver Results - We're Tenacious, Accountable and Focused
We can only defeat financial crime if we have the right people with the right values in place to do so, and we're committed to investing in passionate people who are experts in their field. Our culture and working environment is second to none - Don't believe us? See what our employees have to say on Glassdoor.
The Role
Software Engineers / Machine Learning Engineers on the Entity Resolution team will:
- Work alongside Data Scientists to develop and productionize machine learning models for Entity Resolution
- Build out the software ecosystem for Entity Resolution, including feature extraction and storage, workflow management, model delivery and more
- Help the team to make the right technical and architectural decisions as we evolve and scale our systems
- Integrate ML models into new and existing data pipelines to drive positive impacts for CA's customers
- Undertake prototyping and research work to determine the best approach to achieve the team's goals
What does success look like after 3 months?
You'll understand some of our customer's pain points, how your work impacts them and what we'll be delivering in the months ahead. You'll also know enough about the data and software ecosystem at ComplyAdvantage to take ideas from prototypes to production.
You will have been involved in the development of new models and improvements to ER pipelines, resulting in improved data quality and satisfied customers.
You'll have contributed to our internal tooling, enhancing the experiment management, MLOps and data management capabilities of the team, helping accelerate model delivery safely.
You will have participated in design and architectural conversations, shared ideas and advocated for both good engineering practice and customer value, making your mark on the team and its projects.
The Requirements
We're looking for a smart and motivated individual that takes pride in their work and contributes to a positive and engaging working environment. You will be confident in your ability to deliver on the points covered above, taking into account the following:
Your ability to:
- Communicate capably, and translate business requirements into technical solutions
- Work as part of a cross-functional team in an agile environment
- Analyse and problem solve effectively
Your experience of:
- Writing maintainable, performant and well-tested code in Python
- Delivering and supporting data-intensive applications in production and at scale
- Development of machine learning models, or productionisation of machine learning prototypes
- Deployment and support of machine learning models in production
The following are desirable, but not essential:
- Bachelors or higher in Computer Science, Maths or adjacent subject
- Experience with Entity Resolution, Record Linkage or other related topics
- Experience working with cloud (AWS / Azure / GCP) or containerised infrastructure (Kubernetes / Docker / ArgoCD / Argo Workflow)
- Comfort working with numeric computing libraries such as NumPy and Pandas
- Experience with databases (MongoDB, PostgreSQL), message queues (Kafka) and data engineering workflows (batch processing, ETL, streaming)
Benefits
The benefits of working at ComplyAdvantage include the below;
- Competitive Salary
- You will also get an annual budget of £215 to kit out your home office
- Unlimited Time Off Policy
- Flexible Working opportunities
- Paid Sick Leave
- Hybrid Working opportunities
- Pension Contribution
- Equity
- Employee Assistance Programme
- Parental Leave (Maternity, Paternity and Adoption too)
- Cycle to work scheme
- Season Ticket loan
- Childcare benefits
- Medical Insurance
- Life Insurance
- Eye Care Vouchers
At ComplyAdvantage diversity fuels our rocket ship and our commitment to inclusion across race, gender, age, religion, identity and experience drives us forward every day. We encourage everyone to apply and aspire to consider every application fairly.
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