financial services DATA RECRUITMENT

financial services DATA RECRUITMENT

OVERVIEW

INDUSTRY

OVERVIEW

Data and analytics roles play a pivotal and indispensable role in the Banking, Financial Services, and Insurance industry, delivering invaluable insights that inform strategic decision-making, foster innovation, and enable businesses to maintain a competitive edge. According to our BFSI data recruitment experts, the long-term significance of data and analytics jobs in the BFSI sector is evident in their ability. Driving strategic initiatives, managing risks effectively, and enhancing customer experiences.

In the UK, US, and EU, data and analytics jobs in the BFSI sector are subject to unique nuances and differences.  That's where our BFSI data recruitment experts come in. According to them, the UK's financial services sector places a strong emphasis on regulatory compliance, risk management, and data privacy due to the influential role of regulatory bodies such as the Financial Conduct Authority (FCA) and the Prudential Regulation Authority (PRA). Data and analytics professionals in the UK BFSI sector may be involved in managing complex regulatory requirements, including Anti-Money Laundering (AML) and Know Your Customer (KYC) regulations.

In the US, data and analytics jobs in the BFSI sector are influenced by various factors such as the size and diversity of the financial market, the regulatory landscape governed by organizations such as the Securities and Exchange Commission (SEC) and the Federal Reserve, and the focus on consumer protection. Data scientists and analysts in the US BFSI sector may work on areas such as risk modeling, fraud detection, and customer segmentation.

In the EU, data and analytics jobs in the BFSI sector are shaped by regulatory frameworks like the General Data Protection Regulation (GDPR) and the European Central Bank's (ECB) guidelines on risk management. The focal points are data privacy, risk assessment, and regulatory compliance. Data and analytics professionals in the EU BFSI sector may be involved in areas such as stress testing, credit risk assessment, and compliance reporting.

Across all regions, the significance of data and analytics jobs in the BFSI sector lies in their ability to drive data-driven decision-making, enhance risk management practices, optimize customer experiences, and foster innovation through advanced analytics techniques such as machine learning and artificial intelligence. Companies that invest in highly skilled data and analytics professionals are likely to gain a competitive advantage in the ever-evolving BFSI landscape. To take your first steps toward finding the perfect candidate, contact us today. Our BFSI data recruitment experts will be happy to speak with you!

CANDIDATE PROFILE

CANDIDATE PROFILE

  •  
    • Technical skills: BFSI employers often seek candidates with proficiency in data analysis tools and programming languages such as Python, R, SQL, and data visualization tools like Tableau or Power BI. Familiarity with statistical techniques, data modeling, and machine learning algorithms is also highly valued.

 

    • Domain knowledge: Employers in the BFSI sector typically look for candidates who have a deep understanding of the industry, including financial products, services, regulations, and market trends. Knowledge of specific areas such as risk management, fraud detection, or compliance is often sought after.

 

    • Analytical mindset: Employers value candidates who have strong analytical skills, including the ability to analyze complex data sets, identify patterns, and derive meaningful insights. Problem-solving skills and attention to detail are also highly regarded.

 

    • Business acumen: BFSI employers often seek candidates who can translate data insights into actionable business recommendations. Understanding how data and analytics can drive business outcomes, improve customer experiences, and generate value is crucial.

 

    • Communication skills: Effective communication skills, both verbal and written, are highly valued in BFSI data and analytics roles. Candidates who can communicate complex data findings and insights in a clear and concise manner to non-technical stakeholders are often preferred.

 

    • Adaptability and continuous learning: Given the rapidly evolving landscape of data and analytics, BFSI employers look for candidates who are adaptable to change and willing to continuously learn and upgrade their skills. Keeping up with the latest trends, technologies, and industry developments is seen as a valuable trait.

 

  • Ethics and integrity: Data privacy and security are critical in the BFSI sector. Employers seek candidates who demonstrate high ethical standards, integrity, and compliance with regulatory requirements when handling sensitive data. To discover more about will make the perfect candidate for your business, contact us now. Our BFSI data recruitment experts would love to hear from you.
BFSI Data Recruitment.
Data Recruitment
Women in Data Recruitment
Black in Data Recruitment
Rockborne Graduate Data Recruitment
BFSI Research
Data Scientists

DATA SCIENCE OVERVIEW

Data science plays a critical role in the banking, financial services, and insurance sector by helping organizations make data-driven decisions, manage risks, and improve customer experience. With the vast amount of data generated by BFSI organizations, data science has become an essential tool to analyze and interpret this data to gain insights and drive growth.

In the BFSI sector, data science is used for a variety of purposes, including fraud detection, credit risk analysis, customer segmentation, and product development. Data scientists in the sector use statistical analysis, machine learning, and data modeling techniques to develop predictive models that help organizations make informed decisions.

One of the key benefits of data science in the BFSI sector is improved risk management. Data scientists can use historical data and predictive modeling techniques to identify potential risks and mitigate them before they become a problem. This helps organizations minimize losses and maintain financial stability.

Another benefit of data science in the BFSI sector is improved customer experience. By analyzing customer data, organizations can understand their preferences and behavior, and use this information to offer personalized products and services that meet their needs.

Data science is imperative in the BFSI sector. By helping organizations make informed decisions, manage risks, and improve customer experience. As the industry continues to generate vast amounts of data, the demand for data scientists in the BFSI sector is likely to continue to grow, making it a promising career path for those interested in data science and analytics. If you're still in need of the perfect candidate for your BFSI business, contact us today. Our BFSI data recruitment specialists are here to help!

BI Analysts

BUSINESS INTELLIGENCE OVERVIEW

Business Intelligence (BI) jobs are in high demand in the Banking, Financial Services, and Insurance (BFSI) sector. BI professionals are responsible for gathering, analyzing, and visualizing large amounts of data to provide insights that help BFSI organizations make informed decisions.

The BFSI sector relies heavily on data to manage risks, improve customer experiences, and comply with regulations. As a result, BI professionals play a critical role in helping BFSI organizations stay competitive in today's fast-paced business environment.

BI jobs in the BFSI sector require a strong understanding of financial data, regulatory compliance, and business operations. The ideal candidate should have expertise in data modeling, analytics, and visualization tools. Additionally, they should possess strong communication and problem-solving skills to work effectively with cross-functional teams.

BI jobs in the BFSI sector are a key component of a successful and thriving organization. They play a critical role in helping BFSI organizations gain insights into their operations, improve customer experiences, and make data-driven decisions. If you need more information on recruiting for BI, contact us today. Speak to our BFSI data recruitment specialists, they are here to help!

 
 
DATA MANAGEMENT ANALYSTS

DATA MANAGEMENT 

Data Management jobs in the Banking, Financial Services, and Insurance (BFSI) sector are like the unsung heroes behind the scenes, working tirelessly to keep the wheels of the industry turning smoothly. With the sheer magnitude of data that BFSI organizations deal with on a daily basis, managing this vast ocean of information is no small feat. It requires a unique blend of skills and expertise to navigate through the complexities and ensure that data is organized, stored, protected, and maintained with the utmost integrity.

In the fast-paced, data-driven world of BFSI, where decisions are made in the blink of an eye and risks lurk around every corner, Data Management professionals are the gatekeepers of reliable and accurate data. They are the ones who ensure that data flows seamlessly across the organization, providing the foundation upon which strategic decisions are made, risks are mitigated, and regulations are adhered to.

But what does it take to be a Data Management pro in the BFSI sector? It's not just about being tech-savvy and having a basic understanding of data. It goes much deeper than that. These professionals need to have an in-depth understanding of the nuances of financial data, regulatory compliance, and the intricacies of business operations. They need to be the maestros of data governance, data quality, and data integration, orchestrating a symphony of data that harmoniously supports the organization's goals and objectives.

However, it's not just about crunching numbers and analyzing data. Effective communication and problem-solving skills are equally important for Data Management professionals in the BFSI sector. They need to be able to effectively collaborate with cross-functional teams, navigating through the maze of stakeholders, departments, and systems to ensure that data is managed in a way that adds value to the organization. For more expert hiring advice, speak to our BFSI data recruitment consultants today!

Risk Analysts

RISK ANALYTICS

In the dynamic world of Banking, Financial Services, and Insurance (BFSI), Risk Analytics jobs are indispensable. These roles involve delving into vast amounts of data to uncover potential risks and opportunities, providing valuable insights that empower organizations to make informed decisions in the face of uncertainty.

BFSI organizations operate in a constantly evolving environment, where a multitude of risks lurk. This is where Risk Analytics professionals step in, playing a pivotal role in proactive risk management, loss mitigation, and profit maximization.

Deep expertise in financial data, statistical analysis, and business operations is a must for Risk Analytics jobs in the BFSI sector. The ideal candidate is well-versed in risk modeling, scenario analysis, and stress testing, and possesses exceptional communication and problem-solving skills to collaborate effectively with cross-functional teams.

Being part of the Risk Analytics team in the BFSI sector means being an integral part of organizational success. You will help identify potential risks and opportunities, guide decision-making, and keep organizations competitive in today's ever-changing business landscape. Expect the unexpected, analyze the complexities, and unlock insights that drive strategic outcomes. Don't navigate risk analytics recruitment alone. Contact our BFSI data recruitment experts today!

 
 
Customer Analytics Consultants

CUSTOMER ANALYTICS

Customer Analytics roles within the dynamic realm of the Banking, Financial Services, and Insurance (BFSI) sector are nothing short of paramount. These professionals are tasked with delving into the labyrinthine depths of customer data to unravel the enigmatic patterns of customer behavior, preferences, and needs. Armed with these invaluable insights, organizations can fashion bespoke products and services that cater to the idiosyncratic demands of their discerning clientele.

In the cutthroat landscape of the BFSI sector, where competition is rife and innovation is imperative, comprehending customer behavior and preferences takes center stage. Thus, Customer Analytics roles emerge as pivotal pillars, empowering organizations to gain a strategic edge, enhance customer satisfaction, and propel growth to unprecedented heights.

Flourishing in the realm of Customer Analytics within the BFSI sector calls for an astute grasp of customer data, proficiency in statistical analysis, and a profound understanding of business operations. The ideal candidate is a virtuoso in customer segmentation, adept in predictive modeling, and a maestro in data visualization. Furthermore, exceptional communication and problem-solving skills are essential to collaborate effectively with multifaceted, cross-functional teams.

Embarking on a career in Customer Analytics for the BFSI sector bestows upon you an indomitable sense of purpose as you become a linchpin of success for BFSI organizations. Your prowess in unearthing customer behavior, preferences, and needs will serve as the catalyst for crafting tailor-made products and services that cater to the distinctive requirements of your esteemed customers. To find out more, contact our BFSI data recruitment experts now!

JOBS

LATEST financial services
DATA JOBS

Director of AI

New York

$201000 - $260000

+ Data Science & AI

Permanent
New York

To Apply for this Job Click Here

Director of AI

New York, New York | 4 days on-site (+ some travel)

$240,000-260,000 base salary + bonus + benefits

My client is a fast-growing, private equity firm that has billion-dollar portfolio companies. They are looking for their first Director of AI to build machine learning models and help support efforts in advising clients on strategy transformation. You will leverage NLP and machine learning skills, working directly with internal and external clients to advance their business processes. This is a hands-on position, which will grow the team over the next year.

THE ROLE

  • Collaborate with the engineering team to find solutions for clients through ML-based initiatives.
  • Work on initiatives across investment risk, compliance, and internal company AI automation
  • Build out machine learning/LLM products in the first several months with the opportunity to build out an AI team around you.
  • Support clients in developing and monitoring KPIs through NLP/LLM and ML solutions that align with project demands.
  • Create solutions for clients to remain competitive in their respective industries through the use of NLP/LLM to leverage new customer opportunities.

YOUR SKILLS AND EXPERIENCE

A successful Director of AI will likely have the following skills and experience:

  • 7+ commercial years of experience
  • College degree in a quantitative, STEM field
  • Track record of communicating with and managing non-technical stakeholders
  • Experience leading projects end-to-end and mentoring junior team members (direct reports are ideal, but not required)
  • History of building machine learning and NLP models: text summarization, classification, entity extraction, etc.
  • Prior management consulting experience preferred
  • Expert in Python and experience with common NLP packages: spaCy, NLTK, gensim, BERT, etc.
  • Exposure to visualization tools
  • Proficiency in Azure cloud platform preferred, but not required

THE BENEFITS

A competitive base salary of $240,000-260,000 + bonus + benefits

HOW TO APPLY

Please register your interest by sending your résumé to Cassie Wandell via the Apply link on this page.

KEYWORDS

Data Science | Machine Learning | Finance | LLM | LLMs | Large Language Models | Private Equity | Python | Consulting | Management Consulting | NLP | Natural Language Processing | Deep Learning | Statistics | Project Leadership | Project Management | Stakeholder Management | Team Leadership

To Apply for this Job Click Here

Principal Data Architect

London

£110000 - £110000

+ Data Engineering

Permanent
London

To Apply for this Job Click Here

PRINCIPAL DATA ARCHITECT

LONDON

£110,000

THE COMPANY

This global management consultancy operating in the capital markets is now looking for a Principal Data Architect to help serve their clients and manage the projects.

THE ROLE

As a Principal Data Architect you will be involved in several projects working with data structures, and ensuring that systems and solutions align with the organisation’s business goals.

Specifically, you can expect to be involved in the following:

  • Managing commercial expectations including budget and revenue
  • Manage and deliver projects
  • Developing client relationships, identifying clients who could benefit from the company’s solutions

SKILLS AND EXPERIENCE

The successful Principal Data Architect will have the following skills and experience:

  • Cloud (Azure, GCP or AWS)
  • At least 8 years of experience
  • Consulting experience
  • Experience in the finance/insurance industry

BENEFITS

The successful Principal Data Architect will receive the following benefits:

  • £110,000 yearly salary
  • Hybrid working, 3 days in office
  • Medical Insurance
  • Pension
  • And more

HOW TO APPLY

Please register your interest by sending your resume/CV to Joana Alves via the Apply link on this page.

To Apply for this Job Click Here

Senior Data Architect

London

£85000 - £85000

+ Data Engineering

Permanent
London

To Apply for this Job Click Here

SENIOR DATA ARCHITECT

LONDON

£85,000

THE COMPANY

This global management consultancy operating in the capital markets is now looking for a Senior Data Architect to implement advanced data solutions to optimise data strategies for clients.

THE ROLE

As a Senior Data Architect you will be involved in several projects working with data structures, focusing on technical tasks and delivering solutions.

Specifically, you can expect to be involved in the following:

  • Creating scalable and efficient data models, structures, and systems tailored to client needs.
  • Overseeing the deployment of data solutions, including cloud platforms, databases, and big data technologies.
  • Continuously optimising data workflows and systems for performance, cost, and scalability.

SKILLS AND EXPERIENCE

The successful Senior Data Architect will have the following skills and experience:

  • Cloud (Azure, GCP or AWS)
  • At least 5 years of experience
  • Consulting experience
  • Experience in the finance/insurance industry

BENEFITS

The successful Senior Data Architect will receive the following benefits:

  • £85,000 yearly salary
  • Hybrid working, 3 days in office
  • Medical Insurance
  • Pension
  • And more

HOW TO APPLY

Please register your interest by sending your resume/CV to Joana Alves via the Apply link on this page.

To Apply for this Job Click Here

Senior Credit Portfolio Manager

Nottingham

£80000 - £90000

+ Risk Analytics

Permanent
Nottingham, Nottinghamshire

To Apply for this Job Click Here

Senior Credit Portfolio Manager

Up to £90,000

Nottingham

Hybrid – (2 Days a Week in Office)

This is a great opportunity for someone who has a strong background working within debt and credit risk to come and work for a top European Energy business as a Senior Manager leading a team, reporting to the board, and developing strategies for the business.

The Role

As a Senior Credit Portfolio Manager, you will be working within a team to:

  • Manage the debt portfolio model and make sure is it inline with regulation and business operations.
  • Reporting on portfolio forecast to the board and providing commentary on portfolio performance
  • Owning the business relationship with Credit Reference Agencies
  • Developing and implementing new strategies and policies for the debt portfolio
  • Working cross functionally with the board, product, analytics, CRA’s, and finance teams.

Your skills and experience

For you to be successful as a Senior Credit Portfolio Manager, you will need:

  • Strong experience working in credit risk at a manager/senior manager
  • Strong experience managing a debt portfolio
  • Experience managing a team
  • High level of Financial & Commercial awareness
  • Excellent stakeholder management experience
  • Ideally technical coding skills like SAS, SQL, and/or Python

Benefits

Up to £90,000 + benefits

To Apply for this Job Click Here

Fraud Manager

Stafford

£50000 - £60000

+ Risk Analytics

Permanent
Stafford, Staffordshire

To Apply for this Job Click Here

Fraud Manager

Staffordshire

Up to £60,000

On-site (5 days a week in office)

This is a great opportunity to work for a Top Entertainment business who are a market leader within the space. As a Fraud Investigation Manager, you will be managing a team of investigators and working with senior stakeholders internally and externally to protect the business and its customers against fraud.

The Role

As a Fraud Manager, you will be working within a team to:

  • Investigating fraud cases and supporting the team at the escalation phase
  • Managing a team of fraud investigators and managing the team workload
  • Staying up-to-date with fraud trends, regulation, and policy
  • Analysing and supporting new fraud trends being seen by the investigators
  • Working with the data teams to create new solutions in stopping transaction fraud
  • Liaising with regulatory bodies to make sure the business is in line with fraud regulation

Your skills and experience

For you to be successful as a Fraud Investigation Manager, you will need:

  • Experience as a Fraud Manager
  • Experience managing a team of fraud investigators
  • Strong experience investigating transaction fraud
  • Excellent organisational and communication skills
  • Excellent interpersonal skills
  • Ability to manage both upwards and downwards
  • Experience working closely with regulators

Benefits

Up to £60,000 + benefits

APPLY NOW!!!

To Apply for this Job Click Here

Senior Fraud Consultant

City of London

£50000 - £65000

+ Risk Analytics

Permanent
City of London, London

To Apply for this Job Click Here

Senior Fraud Consultant

Up to £60,000

Hybrid

London

Company:

One of our Consulting clients are on the lookout for a highly skilled Senior Fraud Consultant to join their fraud analytics function working closely with clients developing fraud strategies and providing insights on fraud performance.

Responsibilities:

As a Senior Fraud Consultant, you will be responsible for:

  • Crafting and implementing effective fraud strategies to mitigate risks and protect different clients and customers
  • Utilizing SQL, Python, and Power BI to analyze data, identify fraud patterns, and develop predictive models.
  • Managing and mitigating various types of fraud, including scams, APP fraud, and third-party fraud.
  • Collaborating with multiple vendors to enhance fraud prevention measures and ensure seamless integration.
  • Leveraging your experience in the UK banking sector to align strategies with regulatory requirements and industry best practices.

Key Requirements:

  • Extensive experience in developing comprehensive fraud strategies.
  • Proficiency in SQL, Python, and Power BI.
  • In-depth knowledge of scams, Authorized Push Payment (APP) fraud, and third-party fraud.
  • Experience working with multiple vendors.
  • Previous experience working for a UK bank.

Salary: Up to £60,000 Per Year + Strong Benefits Package

To Apply for this Job Click Here

Fraud Strategy & Analytics Consultant

City of London

£55000 - £65000

+ Risk Analytics

Permanent
City of London, London

To Apply for this Job Click Here

Fraud Strategy & Analytics Consultant

Up to £65,000

Hybrid

London

Company:

One of our Consulting clients are on the lookout for a highly skilled Fraud Strategy & Analytics Consultant to join their fraud function working closely with clients developing strategies and providing insights.

Responsibilities:

As a Fraud Strategy & Analytics Consultant, you will be responsible for:

  • Developing and implementing effective fraud strategies to mitigate risks and protect different clients and customers
  • Utilizing SQL, Python, and Power BI to analyze data, identify fraud patterns, and develop predictive models.
  • Managing and mitigating various types of fraud, including scams, APP fraud, and third-party fraud.
  • Collaborating with multiple vendors to enhance fraud prevention measures and ensure seamless integration.
  • Leveraging your experience in the UK banking sector to align strategies with regulatory requirements and industry best practices.

Key Requirements:

  • Extensive experience in developing comprehensive fraud strategies.
  • Strong experience with analysis of large customer data sets.
  • Proficiency in SQL, Python, and Power BI.
  • In-depth knowledge of scams, Authorized Push Payment (APP) fraud, and third-party fraud.
  • Experience working with different vendors.
  • Previous experience working for a UK bank.

Salary: Up to £65,000 Per Year + Strong Benefits Package

To Apply for this Job Click Here

Director of AI

New York City

$250000 - $275000

+ Data Science & AI

Permanent
New York

To Apply for this Job Click Here

Director of AI

$250,000-$275,000 + Bonus

New York Metro Area – Hybrid

We are collaborating with a global private equity firm that has a strong footprint in real estate, credit platforms, and financial services. They are focused on harnessing AI and automation to strengthen risk analysis, enhance fraud detection, and improve operational efficiency.

As they expand their AI capabilities, they are looking for a Director of AI to establish and lead an AI function that integrates LLMs with financial risk models, advances credit assessment automation, and refines fraud detection strategies.

THE ROLE

This position will spearhead the company’s AI & automation initiatives, driving innovative machine learning solutions to optimize credit risk assessment, underwriting, and fraud detection. You will define the AI roadmap, build and lead a high-performing team, and collaborate closely with executive leadership and key stakeholders-all while staying technically hands-on.

RESPONSIBILITIES

  • Develop and deploy AI-driven solutions for fraud detection, risk management, and financial automation.
  • Design AI-powered credit risk assessment and underwriting models to enhance decision-making.
  • Player/coach model working technically hands-on while leading team strategy
  • Integrate ChatGPT and LLMs with internal financial risk models for more accurate and explainable insights.
  • Recruit, manage, and mentor a growing AI team.
  • Work alongside C-level executives, risk teams, and IT departments to embed AI solutions into core business processes.
  • Translate complex AI concepts into clear, actionable insights for non-technical stakeholders.
  • Hands-on experience with Python, Azure, and related technologies.

YOUR BACKGROUND

  • Proven experience in AI/ML within financial services, consulting, or related industries.
  • Expertise in leveraging AI for fraud detection, risk modeling, or financial automation.
  • A technical leader with hands-on experience in AI model development and deployment.
  • Strong leadership experience in AI-driven business transformations.
  • A player-coach mentality-proficient in coding and model building while also leading and mentoring a team.
  • Excellent communication skills, capable of explaining AI strategies to non-technical audiences.

HOW TO APPLY

If you have a background in financial services or consulting and a strong technical foundation in AI model development, send your resume to Grace via the link below.

KEYWORDS

LLMs | Generative AI | Fraud Detection AI | Risk Modeling | Credit Risk Assessment | Machine Learning Engineering | Python | Azure | AI-Driven Automation | NLP | Compliance

To Apply for this Job Click Here

Director of AI & Automation

New York

$250000 - $275000

+ Data Science & AI

Permanent
New York

To Apply for this Job Click Here

Director of AI & Automation – Fraud & Risk

Hybrid- (4 days onsite in NYC)

Private Equity

$250,000-$275,000 base + bonus

We are partnering with a global private equity firm, with a strong presence across real estate, credit platforms, and financial services. They are committed to leveraging AI and automation to enhance risk analysis, fraud detection, and operational efficiencies.

As they continue integrating AI into their business, they seek a Director of AI to build and lead an AI function that will connect LLMs to financial risk models, improve credit assessment automation, and enhance fraud detection strategies.

The Role

This position will establish and lead the company’s AI & automation division, driving cutting-edge machine-learning solutions to optimize credit risk assessment, underwriting, and fraud detection. You will have the opportunity to define the AI roadmap, build a high-performing team, and work directly with executive leadership and key stakeholders, while still being technically hands-on.

Key Responsibilities

  • Develop and implement AI agents for fraud detection, risk mitigation, and financial automation.
  • Build AI-driven credit risk assessment and underwriting models to improve decision-making.
  • Connect ChatGPT and LLMs to internal financial risk models for more reliable, explainable insights.
  • Hire, manage, and mentor a growing AI team within the organization.
  • Collaborate with C-level executives, risk teams, and IT departments to integrate AI solutions into business operations.
  • Communicate technical roadmap and projects to non-technical stakeholders
  • Experience with Python, Azure, and related technologies

Your Background and Expertise

  • Proven experience in AI/ML in financial services, consulting, or related industries
  • Experience utilizing AI for fraud detection, risk modeling, or financial automation
  • Hands on technical leader with expertise in AI model development and deployment
  • Experience with leadership, and managing AI driven transformations
  • Player- coach mentality, strong coding and model building skills while also leading and mentoring a team
  • Excellent communication skills – able to explain AI concepts to non-technical stakeholders

How To Apply

If you have experience in financial services, or consulting, and are technically strong in building AI models. Send your resume to Virginia via the link below.

Keywords

LLMs | Generative AI | Fraud Detection AI | Risk Modeling | Credit Risk Assessment | Machine Learning Engineering | Python | Azure | AI-Driven Automation | NLP | Compliance

To Apply for this Job Click Here

Director of AI

New York

$240000 - $260000

+ Data Science & AI

Permanent
New York

To Apply for this Job Click Here

Director of AI

New York, New York | 4 days on-site (+ some travel)

$240,000-260,000 base salary + bonus + benefits

Harnham is partnered with a fast-growing, private equity firm that has billion-dollar portfolio companies. They are looking for their first Director of AI to build machine learning models and help support efforts in advising clients on strategy transformation. You will leverage NLP and machine learning skills, working directly with internal and external clients to advance their business processes. This is a hands-on position, which will grow out a team over the next year.

THE ROLE

  • Collaborate with the engineering team to find solutions for clients through ML-based initiatives.
  • Work on initiatives across investment risk, compliance and internal company AI automation
  • Build out machine learning/LLM products in first several months with the opportunity to build out an AI team around you.
  • Support clients in developing and monitoring KPIs through NLP/LLM and ML solutions that align with project demands.
  • Create solutions for clients to remain competitive in their respective industries through the use of NLP/LLM to leverage new customer opportunities.

YOUR SKILLS AND EXPERIENCE

A successful Director of AI will likely have the following skills and experience:

  • 7+ commercial years of experience
  • College degree in a quantitative, STEM field
  • Track record of communicating with and managing non-technical stakeholders
  • Experience leading projects end-to-end and mentoring junior team members (direct reports are ideal, but not required)
  • History of building machine learning and NLP models: text summarization, classification, entity extraction, etc.
  • Prior management consulting experience preferred
  • Expert in Python and experience with common NLP packages: spaCy, NLTK, gensim, BERT, etc.
  • Exposure to visualization tools
  • Proficiency in Azure cloud platform preferred, but not required

THE BENEFITS

A competitive base salary of $240,000-260,000 + bonus + benefits

HOW TO APPLY

Please register your interest by sending your résumé to Tim Jonas via the Apply link on this page.

KEYWORDS

Data Science | Machine Learning | Finance | LLM | LLMs | Large Language Models | Private Equity | Python | Consulting | Management Consulting | NLP | Natural Language Processing | Deep Learning | Statistics | Project Leadership | Project Management | Stakeholder Management | Team Leadership

To Apply for this Job Click Here

CRM Analyst

Northampton

£40000 - £45000

+ Advanced Analytics & Mktg Insight

Permanent
Northampton, Northamptonshire

To Apply for this Job Click Here

CRM Analyst
Hybrid (Northampton- 3x a week)
£40,000 – £45,000

An exciting opportunity to join a huge financial broker as a CRM Analyst.

THE COMPANY

An increasingly growing financial broker is seeking a CRM Analyst to combine technical skills and business analysis in the CRM space. If you are seeking a role to make an impact, this is the role for you!

THE ROLE

As the CRM Analyst, you’ll be implementing CRM and Data Analysis within the business. Your role will include communicating with senior stakeholders, gathering and providing recommendations based off analysis. You will be implementing solutions on your findings.

YOUR SKILLS AND EXPERIENCE

  • Strong SQL
  • Visualisation experience
  • CRM implementation (Zoho Prefered)
  • Stakeholder management

THE BENEFITS

  • £40,000 – £45,000

HOW TO APPLY

Please register your interest by sending your CV to Rina Raka at Harnham via the Apply link on this page

To Apply for this Job Click Here

Vice President of Machine Learning Platform

New York

$220000 - $240000

+ Data Science & AI

Permanent
New York

To Apply for this Job Click Here

Vice President of Machine Learning Platform

Financial Services

Hybrid – 3 Days Onsite in the New York Metropolitan Area

$220,000-240,000 base + bonus + RSUs

We have partnered with a leading financial institution to find an exceptional leader to shape the future of their AI/ML platforms. This is an opportunity for a driven professional to take ownership of transformative work at the intersection of cutting-edge technology and global-scale impact. If you are a GPU wizard passionate about building MLOps infrastructure from scratch, keep reading…

The Opportunity

This role offers the chance to join a team of exceptionally skilled AI/ML/MLOps Engineers known for their technical depth and collaborative approach to solving the most complex machine learning problems. You’ll be at the forefront of driving AI innovation in machine learning infrastructure, building and optimizing GPU-powered platforms and integrating cutting-edge frameworks. Operating within a globally respected organization, this is your opportunity to lead transformative work that impacts critical systems at scale while shaping the firm’s AI vision.

The Role

As a Vice President, you’ll provide strategic vision while staying hands-on in the technical execution. You’ll lead a team of AI Engineers, Python Engineers, and core Machine Engineers, as well as AI initiatives that ensure the success of AI/ML models across the organization by developing scalable, efficient platforms.

Key responsibilities include:

  • Designing the strategic direction for the firm’s AI/ML frameworks and GPU-powered platforms.
  • Leading a team of experienced AI/ML/MLOps Engineers to deliver innovative solutions and solve complex and nuanced problems within the financial services sector
  • Building and maintaining containerized runtime environments for AI/ML workloads.
  • Partnering with internal and external stakeholders to implement best-in-class tools and technologies.
  • Applying MLOps best practices to create seamless deployment pipelines.

Your Skills and Experience

  • Advanced proficiency in Python programming and machine learning frameworks such as TensorFlow and PyTorch.
  • Proven experience of deep expertise with GPUs and related technologies like CUDA.
  • Hands-on experience with containerization, cloud platforms, and CI/CD pipelines.
  • Strong leadership abilities, coupled with a passion for solving intricate technical challenges.
  • Experience managing a team, projects, or new platform
  • Proven ability to balance strategic oversight with hands-on technical work.

Why Join?

  • Collaborate with a team recognized for their exceptional technical expertise.
  • Lead impactful projects that define the future of AI/ML in financial services.
  • Work in an environment where innovation and execution meet at scale.
  • Enjoy the flexibility of a hybrid model while making meaningful contributions.

How to Apply

Register your interest by sending your resume to Virginia via this page’s application link.

KEYWORDS:

GPUs, Python, Machine Learning, TensorFlow, PyTorch, Kubernetes, AI/ML Platforms, MLOps, Cloud, Containerization, LLM, NLP

To Apply for this Job Click Here

Industry Hub

HARNHAM
News & Blog

With over 10 years experience working solely in the Data & Analytics sector our consultants are able to offer detailed insights into the industry.

Visit our Blogs & News portal or check out our recent posts below.

Get in touch
today

Can’t find the right opportunity?

If you can’t see what you’re looking for right now, get in contact anyway – we’re always getting clients through the door.

Find BRILLIANT DATA
CAREERS & MORE Data JOBS
THAN ANYONE ELSE
- APPLY RIGHT NOW

Harnham is one of the leading data recruitment companies in the world, and we are dedicated to helping data professionals find their ideal data job.

We're proud to have access to a global network of top employers and recruitment partners, and our team specialize in connecting data professionals to the right data and analytics career opportunities.

Whether you're looking for an entry-level data job or a senior-level analytics position with a top employer, we have the right opportunity for you. Search now to find the perfect data job to match your technical skills and industry experience.

We also provide a variety of career support services, such as resume and interview preparation, to help data professionals get the most out of their job searches. Follow us on LinkedIn for all the latest news and content: