Job Description

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Treasury Analytics

• Treasury quantitative analyst to join the Treasury and Capital Markets team at OakNorth focusing on developing and applying quantitative approaches covering a wide remit of Treasury activities including deposits and loan customer behaviours, Asset & Liability management, FTP, Interest Rate and Liquidity management.
• We're looking for someone who’s willing to get stuck in on a variety of tough problems. It is a great opportunity to help build a modern Treasury Analytics framework from the ground up and participate in a variety of projects as well as day-to-day Treasury management, supporting the Bank’s ALCO oversight of capital and liquidity
  
  Job responsibilities
• Responsibility for quantitative and statistical analysis in relation to OakNorth Bank’s Treasury Management, applying the existing framework from the standing start but also for introducing new approaches.
• Develop high quality and thoughtful analytics that ensure that the bank's balance sheet is effectively managed. The output from the quantitative/statistical analysis will form a critical part of OakNorth Bank’s Asset Liability Management (‘ALM’) and will be a key data source for Asset-Liability Committee (‘ALCO’)
• Play a leading role in driving quantitative solutions through model lifecycle and the Bank’s model risk framework.
• Drive pragmatic data solutions working with Technology, balancing short term wins and longer-term strategic approaches.
  Desired Skills
• Scientific or quantitative degree
• 3-5 years of relevant work experience
• Prior experience working in Banking / Financial Services Treasury/Risk/ALM/Analytics
• Experience in developing predictive models including behavioural modelling for loans and retail deposit portfolios.
• Proficiency in R/Python as well as database design technique and querying tools (e.g. SQL)
• Ability to work cooperatively with all stakeholders and broader team, in a rapidly changing, demanding, and rewarding environment
• Clear thinker with research and analytical abilities; capacity to learn quickly
• Strong interpersonal and communication skills (written as well as verbal)
• Resourceful problem solver with a focus on delivery (ability to multitask is also crucial)

Credit Risk Analyst

• Credit Risk professional will develop wholesale credit risk models – PD/LGD for Real estate and Corporate portfolio as per IFRS9 requirements. Assisting in research, modelling and development for refinement of the current credit risk framework and code in SAS/R/Python for data creation and modelling.
  
  Job Responsibilities
• Developing wholesale credit risk models – PD/LGD for Real estate and Corporate portfolio as per IFRS9 requirements
• Experienced in statistical modelling for low default portfolios
• Coding in SAS/R/Python for data creation and modelling
• Analyzing, explaining, validating and documenting the models and their results.
• Assisting in research, modelling and development for refinement of the current credit risk framework
• Communicating with stakeholders, internal audit, model validation, regulatory agencies and responding to their requests on a timely and accurate basis.
  
  Desired Skills
• 4-8 years of relevant experience at a financial institution or a consulting firm, preferably on a Quant/ Data Science role in a data-rich environment
• Experienced in modelling for Real estate and Corporate portfolio
• Preferably Master’s degree in a quantitative field such as Statistics, Mathematics, Operations Research, Economics, or Finance, or equivalent
• Experienced in developing/validating credit risk - PD/LGD/EAD/Stress testing models
• Experienced in provisioning as per IFRS9 implementation for banks
• Proficiency in programming and Advanced Statistical Techniques– R/SAS/Advanced excel
• Analytical thinking, quantitative abilities and problem solving skills
• Understanding of risk management concepts like Stress-Testing, regulatory frameworks for Risk Management
• Attention to detail and ability to prioritize projects and workload
• Self-motivated team player who brings a “can-do” approach
• Ability to work well under pressure in a fast-paced team-oriented environment
• Strong communication skills; ability to present complex and technical issues clearly, both verbally and in writing
• CFA/FRM will be an added advantage

Data Science

• Data Science will develop Statistical Models using statistical techniques including time series analysis, multivariate regression, test of significance etc.
• This will help us to analyze large financial/market/high-frequency data sets and provide business performance conclusions for companies across multiple sectors e.g. linking macroeconomic data with specific sector performance, linking cost with revenue performance.
• 
  Job Responsibilities
• Develop statistical models to analyze large financial/market/high-frequency data sets and provide business performance conclusions for companies across multiple sectors e.g. linking macroeconomic data with specific sector performance, linking cost with revenue performance
• Hands on experience of using R or Python with focus on statistical packages and working with databases such as SQL
• Extensively use statistical techniques including time series analysis, multivariate regression, test of significance etc. in building the models
• Deep knowledge of data science techniques such as linear/non-linear regression, maximum likelihood estimation, time series estimation & forecasting, optimization, simulations (Monte Carlo), asset pricing, data mining, pattern recognition, dimension reduction (PCA), Nowcasting and MIDAS
• Experience implementing Machine learning algorithms including classification and clustering methods such as logistic regression, decision trees, random Forest, and K-means clustering
• Demonstrate strong understanding of key dynamics that explain sector performance and ability to independently verify the model outcomes
• Keep abreast of latest developments across sectors including impact of regulatory changes, impact of technological changes, structural changes in demand / supply environment etc.
• Extract information directly from multiple sources using web scraping and other techniques
  
  Desired Skills
• Masters in Statistics / Economics / Business or equivalent with at least 7-10 years’ experience in the field of data science and statistical modeling
• Adeptness at linking statistical outcomes with business problems / situations and not thinking in silos of subject matter
• Ability to think critically in understanding client problem and brainstorm solution with colleagues of varied background (credit, market research, and technology)
• Strong communication skills for client facing role

About Us
We’re OakNorth Bank and we embolden entrepreneurs to realise their ambitions, understand their markets, and apply data intelligence to everyday decisions to scale successfully at pace.
Banking should be barrier-free. It’s a belief at our very core, inspired by our entrepreneurial spirit, driven by the unmet financial needs of millions, and delivered by our data-driven tools.
And for those who love helping businesses thrive? Our savings accounts help diversify the high street and create new jobs, all while earning savers some of the highest interest on the market.
But we go beyond finance, to empower our people, encourage professional growth and create an environment where everyone can thrive. We strive to create an inclusive and diverse workplace where people can be themselves and succeed.
Our story
OakNorth Bank was built on the foundations of frustrations with old-school banking. In 2005, when our founders tried to get capital for their data analytics company, the computer said ‘no’. Unfortunately, all major banks in the UK were using the same computer – and it was broken.
Why was it so difficult for a profitable business with impressive cashflow, retained clients, and clear commercial success to get a loan?
The industry was backward-looking and too focused on historic financials, rather than future potential.
So, what if there was a bank, founded by entrepreneurs, for entrepreneurs? One that offered a dramatically better borrowing experience for businesses?
No more what ifs, OakNorth Bank exists.