Data Scientist, Acin
3 days a week in office (King William St, London)
AI driven risk control platform
Be an early applicant
AI driven risk control platform
21-100 employees
Be an early applicant
3 days a week in office (King William St, London)
21-100 employees
Company mission
To revolutionise the financial industry’s approach to non-financial risk management.
Role
Who you are
- Relevant experience in Data Science role
- Solid understanding of statistical and machine learning techniques and can select the models that best suit the problem and hand
- Solid understanding of the principles of a recommender system and how they work
- Experience working with unstructured natural language data and LLMs
- Experience in programming in Python. Strong skills in data analysis, data visualisation, and feature engineering
- Natural creativity with a track record of exploring innovative use cases of data and applications of statistical/ML methods
- Strong communication skills; explaining complex technical concepts to employees across the business
What the job involves
- You will be responsible for identifying ways in which Machine Learning and AI can be used across the company, either to deliver more value to clients, or improve efficiency of internal processes
- You will work in an intellectually curious team of data scientists, alongside front-end and back-end developers to deliver features in an attractive, informative fashion
- You primarily use Microsoft Azure components
- The future tech landscape is for the team to shape, but the direction of travel is state-of-the-art graph-based methods
- Contributing towards our internal recommender system methodology, improving suggestion performance
- Improving model alignment within in our recommender system leading to a higher volume of data processing automation downstream
- Helping to identify the best graph-based AI methodology to improve machine understanding of our data
- Identifying areas where LLMs/ML can be used to extract useful insights to improve client experience
- Integrate state-of-the-art prompt engineering methods into our LLM-driven products to improve performance
- Write production-ready code to execute ML/AI pipelines efficiently, and build these into production systems
- Conduct novel research in given topic areas
- Results should be documented in a clear manner and presented to the team in monthly knowledge sharing sessions
- Mentor junior members of the team where requested
- Follow MLOps and LLMOps best practices set within the team and align your deliverables to it
- Continuously seek out opportunities to innovate
- Stay up to date with new AI tools and research strategies
Salary benchmarks
Our take
In the years since the global financial crisis, financial institutions have made substantial investments to upgrade their risk management programs and comply with ever more stringent regulatory requirements. While most institutions are well set to manage market, credit and liquidity risks, the need to enhance management of non-financial risk is becoming ever more apparent.
Acin is setting out to build a brand-new infrastructure for operational risk management. It's a challenging mission, and will involve redefining the way some of the world’s biggest financial services companies and banks work with data. Yet the company has made impressive progress. Based on a network of peers, Acin’s data protocols connect a bank’s risk control data across their firm and industry, creating huge efficiency savings across the bank both in front and back-office operations.
Acin is now positioned as a strong digitisation option for financial services, and has attracted funding from JP Morgan, Citi, BNP Paribas, Barclays, and Lloyds Banking Group. They will be using this investment to develop new products and enter new fields across the financial services sector.
Steph
Company Specialist at Welcome to the Jungle
Insights
1% employee growth in 12 months
Company
Funding (2 rounds)
Dec 2022
$24m
SERIES B
Sep 2020
$10.7m
SERIES A
Total funding: $34.7m
Company benefits
- 25 days annual leave plus bank holidays
- Hybrid working options. We currently we have offices in Farnborough and Central London
- Enhanced maternity and paternity leave policies
- Private healthcare for you and your family with Axa Healthcare
- Employee Assistance Program
- Share options – we like to offer our employees a stake in our success
- Perkbox
- Access to cutting edge tools and technologies
- A company pension to help save for your future
- A strong team culture where successes are celebrated together
Company values
- Get Up and Go - Dynamic, Driven and Engaging
- Always Further - Pioneering and Collaborative in our Approach
- Value Creation - Create Tangible Value for Customers
- Product First - Analytical and Technology Led
- Integrity - Straightforward, Honest and Sincere
- Judgement - Take a 360 View, Then Back Yourself
Company HQ
City of London, London, UK
Articles
Leadership
Paul Ford
(CEO)Previously COO of both Credit Suisse and Barclays Wealth and Investment Management, they also served as a Captain in the Royal Engineers for over 4 years.
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