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.
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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

Senior Product Analyst – Financial Services

London

£55000 - £70000

+ Advanced Analytics & Marketing Insights

Permanent
London

To Apply for this Job Click Here

Senior Product Analyst
London (Hybrid, 3 days per week) Up to £70,000

This is an opportunity to join a fast growing, digital first organisation where product analytics plays a central role in shaping customer experience and commercial outcomes. You will be embedded within a product focused environment, partnering closely with Product and Engineering to drive data led decisions across high impact initiatives.

The Company
They are a modern, technology driven business operating at scale within a highly regulated industry. With a strong focus on customer outcomes and innovation, they invest heavily in data and analytics to support product development and strategic growth. The organisation values autonomy, collaboration and thoughtful problem solving, offering a mature analytics culture where insight genuinely influences decisions.

The Role

  • Act as the embedded analytics partner within a product area, shaping how insight informs product strategy
  • Define and own product performance metrics, ensuring clarity, consistency and trust
  • Analyse complex datasets to uncover trends, risks and opportunities that impact customer experience and commercial performance
  • Design and evaluate experiments to support product development and optimisation
  • Translate ambiguous business problems into clear analytical approaches and actionable insight
  • Communicate findings clearly to a wide range of technical and non-technical stakeholders

Your Skills & Experience

  • Strong SQL capability with experience working with large, complex datasets
  • Background in product, commercial or customer analytics within a fast paced environment
  • Experience using BI tools such as Tableau, Looker or Power BI, with Python exposure beneficial
  • Comfortable structuring open ended problems and working independently
  • Confident communicator who can influence stakeholders through clear, data driven storytelling

What They Offer

  • Salary up to £70,000 plus a competitive benefits package
  • Hybrid working with three days per week in a London office
  • High impact role with strong ownership and visibility
  • Opportunity to shape analytics within growing product areas and progress your career

How to Apply
If you are a Product Analyst looking for ownership, influence and meaningful impact, apply now.

To Apply for this Job Click Here

Senior Marketing Analyst

London

£70000 - £85000

+ Advanced Analytics & Marketing Insights

Permanent
London

To Apply for this Job Click Here

Senior Marketing Analyst
London | Up to £85,000 plus equity

This is a high-impact analytics role sitting at the heart of growth and marketing decision-making within a fast-paced, product-led environment. You will work on complex attribution and customer journey challenges, with real influence over how marketing investment is measured and optimised, particularly across a key international growth market.

The Company
They are a highly data-driven digital business operating in consumer financial products. The organisation is well established, commercially successful, and known for its strong analytics culture. Teams are lean, collaborative, and focused on using data to drive measurable outcomes. The business is continuing to scale internationally, with analytics playing a central role in that growth.

The Role

  • Partner closely with growth and marketing teams to support performance analysis and strategic decision-making.
  • Analyse marketing spend across digital channels to assess effectiveness and return on investment.
  • Track and evaluate customer acquisition sources to understand channel contribution and efficiency.
  • Develop and improve attribution approaches, including multi-touch attribution, while accounting for privacy and tracking limitations.
  • Optimise marketing and application funnels by identifying drop-offs and conversion opportunities.
  • Analyse end-to-end customer journeys across multiple financial products and recommend alternative pathways where appropriate.
  • Build models to answer complex commercial questions, such as the incremental impact of new channels or campaigns.
  • Apply statistical and experimental techniques to support testing, measurement, and business decisions.

Your Skills & Experience

  • Strong commercial marketing analytics experience within a consumer-facing digital environment.
  • Advanced capability in SQL and Python, with Python used for modelling and analysis.
  • Hands-on experience with attribution modelling and evaluating marketing effectiveness.
  • Experience analysing complex customer journeys and funnel performance.
  • Comfortable working with experimentation, uplift measurement, and statistical techniques.
  • Confident communicator, able to translate analysis into clear, actionable insight for senior stakeholders.

What They Offer

  • Salary up to £85,000.
  • Equity as part of the overall package.
  • A role with genuine ownership and exposure to senior growth and marketing leadership.
  • A high-performing, data-led environment with strong standards and clear impact.
  • Hybrid working, with Tuesday, Wednesday, and Thursday based in a London office.

How to Apply
If you are interested in this opportunity, please apply to learn more about the role and the wider analytics team.

To Apply for this Job Click Here

Product Manager (6 Month FTC)

London

£60000 - £70000

+ Advanced Analytics & Marketing Insights

Permanent
London

To Apply for this Job Click Here

Product Manager – Automation

£70,000

Location: London – Tottenham Court Road
Working pattern: Hybrid (typically 1-2 days a week in the office)
Contract: 6‑month FTC, with a strong chance of going permanent
Benefits: Standard pension (no private healthcare)


OVERVIEW

Are you a Product Manager who enjoys fixing how a business actually runs, not just shipping customer‑facing features? This is an opportunity to join a Series C Wealth Management / FinTech startup at a key stage, with a focus on improving and automating internal processes as the company scales.

The role is hands‑on and impact‑driven. You’ll be working closely with teams across the business to remove manual work, simplify complexity and put better systems in place.


THE COMPANY

This wealth management business provides financial advice to high‑net‑worth clients through a digital, app‑based platform. Rather than managing assets directly, the focus is on helping clients understand and organise their finances, which gives the business flexibility to build a broad range of digital products and services.

Following strong growth and continued investment, the company is now focused on scaling in a sustainable, efficient way.


THE ROLE

As a Product Manager, you’ll work across internal teams such as operations, business development, marketing and talent to understand how work gets done today and where it doesn’t scale.

This isn’t a traditional delivery‑squad role. You won’t be running backlogs of customer features. Instead, your impact will come from improving internal workflows and making the business easier to run as it grows.

Day to day, you’ll be working on things like:

  • Understanding existing operational processes and where time is being lost
  • Improving or automating workflows that are manual or repetitive
  • Building solutions using no code and low code tools
  • Setting up rules‑based processes and system integrations
  • Tracking whether changes actually save time or reduce workload
  • Working closely with a Senior Product Manager focused on automation and internal tooling

SKILLS AND EXPERIENCE

The successful Product Manager will have:

  • 3-5+ years’ experience in a start up or fast tech environment
  • Experience improving or automating operational or internal processes
  • Strong problem‑solving skills and a practical approach to delivery
  • Hands‑on experience with no code or low code environment
  • The ability to clearly talk through what you’ve personally worked on
  • Confidence working with both technical and non‑technical stakeholders

You don’t need to currently hold the title “Product Manager”. Experience from systems, operations‑focused product or automation roles is also relevant.


BENEFITS

The successful Product Manager will receive:

  • Salary up to £70,000
  • 6‑month fixed‑term contract, with a strong likelihood of becoming permanent
  • Standard pension
  • Flexible, hybrid working

WHY APPLY

  • You’ll work on problems that directly affect how the business scales
  • The impact of your work is visible and measurable
  • There’s a lot of freedom in how you approach the role

To Apply for this Job Click Here

AI Automation Engineer

City of London

£80000 - £100000

+ Data Science & AI

Permanent
City of London, London

To Apply for this Job Click Here

12 Month FTC Applied Automation Engineer
London, Goodge Street | £80,000 to £100,000
This is a rare opportunity to join a lean, high trust investment organisation at a pivotal moment. They are building a fully automated reporting and calculation platform from the ground up, replacing long standing manual processes with a modern, scalable solution. You will have clear ownership, real influence, and the chance to deliver a system that will shape how the business operates for years to come.
The Company
They are a well established investment firm operating in the alternative investment space, with a long term track record and a global client base. The business is intentionally small and flat, with direct access to senior leadership and a culture built on trust, low ego and accountability. Based in a modern London office, they combine institutional standards with the pace and autonomy of a specialist team.
The Role

  • Own the end to end delivery of an automated reporting and calculation platform, from design through to production.
  • Automate the ingestion of data from a wide range of structured and unstructured sources including APIs, files and external partners.
  • Design and implement robust data workflows and SQL based data structures to support complex financial calculations.
  • Build reliable, auditable systems that significantly reduce manual intervention in NAV and LAV processes.
  • Work closely with the Head of Data Science, the founder and technical and non technical stakeholders across the business.
  • Lay the foundations for future AI and agent based automation as the platform evolves.

Your Skills and Experience

  • Strong commercial experience building production grade systems using Python and SQL.
  • Excellent problem solving skills with a logical and mathematical mindset.
  • Experience integrating multiple data sources and APIs into cohesive workflows.
  • Exposure to CI/CD, version control and modern engineering best practice.
  • Confidence owning ambiguous, high impact projects end to end.
  • Any exposure to financial services, automation of legacy processes, FastAPI or AI driven systems is a bonus but not essential.

What They Offer

  • A 12 month fixed term contract with a high likelihood of extension or conversion to permanent.
  • Hybrid working model with three days in the office after an initial onboarding period.
  • The chance to make a visible, lasting impact in a small, trusted team.

How to Apply
Apply now to learn more about this Applied Automation Engineer opportunity and discuss whether it could be the right next step for you.

To Apply for this Job Click Here

Lead Data Engineer

City of London

£90000 - £100000

+ Data Engineering

Permanent
City of London, London

To Apply for this Job Click Here

Lead Data Engineer

Remote UK, £90,000 to £100,000

This is an opportunity to join a fast scaling, digital first consumer platform at a pivotal point in its data journey. They are investing heavily in their data infrastructure and are building a high performing, software led data engineering team to support real time, high volume analytics across the business. You will have genuine influence over how data engineering is done, working on modern tooling and best practice from day one.

The Company

They are a UK based, consumer facing digital platform operating in a highly regulated online environment. Since launching less than a decade ago, the business has grown rapidly, supported by significant recent funding and a strong focus on product, user experience and responsible engagement. Data is central to their growth strategy, and they are building a modern, scalable analytics platform to support this ambition. The team operates fully remotely across the UK and Europe.

The Role

  • Design, build and own end to end data pipelines supporting real time and batch analytics
  • Work on high volume, low latency data use cases with a strong focus on reliability and scalability
  • Develop production grade data solutions using software engineering best practices such as CI/CD, testing and version control
  • Contribute to the design of data models and analytics layers used across the business
  • Help implement and mature staging, testing and deployment processes across the data platform
  • Collaborate closely with analytics, product and engineering teams to enable better decision making

Your Skills and Experience

  • Strong commercial experience as a data engineer in modern, cloud based environments
  • Advanced Python and SQL, with experience using PySpark or similar distributed processing frameworks
  • Experience building and maintaining data pipelines in AWS using services such as S3, Glue or EKS
  • Hands on experience with modern analytics stacks such as Snowflake, dbt and Iceberg
  • Familiarity with orchestration tools such as Dagster or Airflow
  • Strong understanding of data modelling concepts and analytics best practice
  • A software engineering mindset, including Git, testing and CI/CD workflows

What They Offer

  • The chance to help shape a growing data platform and engineering culture
  • Clear progression opportunities as the data team continues to expand
  • Exposure to complex, real world data challenges at scale

How to Apply

If you are a Lead Data Engineer looking to make a real impact in a growing, product led business, apply now to learn more about the opportunity.

To Apply for this Job Click Here

Senior Product Manager

City of London

£80000 - £100000

+ Advanced Analytics & Marketing Insights

Permanent
City of London, London

To Apply for this Job Click Here

Senior Product Manager
London (Hybrid)
80-100k

We are hiring a Product Manager to take full ownership of a core platform at a pivotal stage of growth. You will lead the roadmap, drive delivery, and embed practical AI into everyday workflows, turning semi‑manual processes into a scalable, intelligent product. This role stands out for its true end to end ownership, high autonomy, and direct impact on how the business operates and grows. You will work closely with users, senior stakeholders, Engineering and Data to deliver meaningful product improvements with visible commercial value.

The Company
We are a founder led, high growth organisation operating in a specialist professional services environment. Technology sits at the centre of how we deliver value, with Product, Engineering and Data working closely alongside client facing teams. Having invested in a strong platform foundation, we are now focused on accelerating product velocity and impact through smarter workflows.
The Role

  • Own the full product roadmap and delivery for a core internal and client facing platform
  • Translate business and user needs into clear epics, specifications and delivery ready tickets
  • Balance new feature development, optimisation work, and technical debt through clear prioritisation
  • Act as the day to day product contact for Client Services, Sales and Leadership
  • Work closely with users to understand real operational pain points
  • Partner with Engineering on feasibility, sequencing and delivery to reduce ambiguity and unblock teams
  • Collaborate with Data to ensure alignment with data structure, quality and definitions
  • Identify and embed practical AI and LLM use cases across matching, data enrichment and user experience
  • Reduce reliance on manual processes and spreadsheets through automation

Your Skills and Experience

  • Strong commercial experience owning and delivering a product roadmap in a lean environment
  • Proven ability to lead discovery, prioritisation and execution end to end
  • Confidence working closely with Engineering and Data teams
  • Practical experience applying AI or LLMs to improve real workflows
  • Clear communicator able to manage senior stakeholders and make trade off decisions
  • Comfortable operating in ambiguous problem spaces and driving delivery

What We Offer

  • Competitive salary and comprehensive benefits package
  • High autonomy and visibility within a founder led organisation
  • True ownership of a critical platform with business wide impact
  • Opportunity to apply AI in a practical, valuable way
  • Clear scope for progression as the product function continues to grow

How to Apply
Apply now to learn more about this Product Manager opportunity and the impact you could have.

To Apply for this Job Click Here

Lead Data Scientist

Leeds

£70000 - £90000

+ Data Science & AI

Permanent
Leeds, West Yorkshire

To Apply for this Job Click Here

AI Engineer / Data Scientist

3 days in Leeds or Nottingham

We are working with a leading data and analytics organisation supporting banks and lenders by analysing large‑scale consumer and transactional data.

The Role
You’ll join a specialist AI & Machine Learning team building modern credit risk and decisioning models. The focus is on moving beyond traditional scorecards to advanced ML and AI techniques applied to real‑world lending problems.

Key Responsibilities

  • Build and enhance credit risk and lending models
  • Apply ML and AI techniques including predictive modelling, clustering, segmentation, and transformer‑based models
  • Modernise legacy models using Python‑based ML approaches
  • Collaborate with product and engineering teams to deploy models into production

Required Experience

  • Background in banking, fintech lending, credit bureaus, or consulting with lending experience
  • Hands‑on experience building credit risk models
  • Strong Python and SQL skills
  • Experience using ML and AI models in regulated environments

Logistics:

  • 3 days in office in either Leeds or Nottingham

To Apply for this Job Click Here

Sr. Data Engineer

Chicago

$120000 - $140000

+ Data Engineering

Permanent
Chicago, Illinois

To Apply for this Job Click Here

Senior Data Engineer

Location: Chicago, IL (Hybrid)

Pay: $120k – $140k base + bonus

About the Company

We are partnered with a growth-stage fintech company building transparent, borrower-friendly financial products. The team is simplifying access to credit through data-driven decision-making, modern infrastructure, and a strong emphasis on customer outcomes. You will join a small, collaborative, and impact-oriented department.

Responsibilities

  • Design, build, and maintain scalable data pipelines and infrastructure using Snowflake, Airflow, Fivetran, and dbt
  • Develop and optimize SQL- and Python-based workflows for data ingestion, transformation, and automation
  • Partner with business stakeholders to design and maintain reliable data marts, addressing data quality gaps and inconsistencies
  • Implement robust testing and validation frameworks, particularly within dbt models, to ensure end-to-end data reliability
  • Apply data platform reliability best practices, including monitoring and alerting (e.g., Datadog) for ETL workflows
  • Collaborate cross-functionally to translate business needs into scalable data solutions
  • Own projects end to end while contributing effectively within a collaborative team environment

Qualifications

  • 3 – 5 years of experience in data engineering or analytics engineering roles (fintech or regulated environments preferred)
  • Bachelor’s degree in a relevant field or equivalent practical experience
  • Strong proficiency in SQL
  • Hands-on experience with Python, Snowflake, Airflow, Fivetran, and dbt
  • Solid understanding of data modeling, version control (Git), and CI/CD workflows
  • Experience operating data platforms in cloud environments, preferably AWS
  • Strong communication skills, business intuition, and the ability to troubleshoot complex data issues

To Apply for this Job Click Here

Senior MLOps Engineer

New York

$160000 - $180000

+ Data Science & AI

Permanent
New York

To Apply for this Job Click Here

Senior MLOps Engineer

New York, New York – 4 days onsite

$160,000 – $180,000 + bonus

THE COMPANY

Harnham is partnering with a top financial services company in the NYC area, which is looking for an experienced MLOps Engineer. This person will be at the forefront of scaling AI automation applications for new ways at identifying cost-saving opportunities. You’ll partner with executive teams across the company and own generative AI, LLM and reinforcement learning application infrastructure deployment at scale.

RESPONSIBILITIES

  • You will be responsible for machine learning model deployment and scalability for the company’s AI platform
  • You will report directly to senior leadership and work closely on technical direction
  • Own AI infrastructure and quickly build into production, particularly focusing on novel AI and LLM applications
  • You will implement and design code and build out to production using various machine learning and LLM techniques, owning machine learning workflow operations and distributed systems
  • Own CI/CD pipelines for MLOps / LLMOps
  • You will play an integral role of building out the AI team and scaling out its product
  • Act as a thought leader role for AI across the business


SKILLS AND EXPERIENCE

  • 5+ years of commercial experience preferred with a focus on deploying and scaling machine learning and LLM models
  • Expertise in Python (TensorFlow, PyTorch) for production-grade work
  • Commercial experience building novel AI platforms with large datasets
  • History of working with and managing real-time AI applications in production settings
  • Fluency with low-latency distributed systems is preferred
  • Cloud experience in AWS, Azure or GCP
  • DevOps experience with CI/CD pipelines required; Gitlab Pipelines, CDK or Terraform
  • Container experience with Docker or similar
  • History of working on models from concept to production / end-to-end / 0-1
  • Software engineering foundation: debugging, testing, maintainable code design
  • Domain experience in fintech or similar a plus
  • History of partnering with non-technical stakeholders required
  • Experience owning projects directly preferred
  • BS or MS degree in Computer Science, Software Engineering, Computer Engineering or similar

BENEFITS

The compensation package contains a base salary, bonus and a comprehensive benefits package.

HOW TO APPLY

Please register your interest by sending your CV via the Apply link on this page.

KEY TERMS

Artificial Intelligence | Generative AI | GenAI | Machine Learning | ML Engineer | Engineering | Deployment | Production | Real Time | Enterprise | Statistics | Mathematics | Financial Services | Banking | Python | Anomaly Detection | Fintech | Agentic AI | AI Agents | MLOps | ML Operations | Deployment | Deploy | Production | CI/CD | Container | Docker | Gitlab Pipelines | Terraform

To Apply for this Job Click Here

AI Consultant

London

£75000 - £90000

+ Data Science & AI

Permanent
London

To Apply for this Job Click Here

AI Consultant
London | Up to £90,000

This is a standout opportunity for an AI Consultant to join a growing AI and Analytics function at a well established data driven organisation. Sitting at consultant level within a specialist AI lab, this role offers the chance to work on varied, high impact projects that shape how AI is applied to complex commercial decision making.

The Company
They are a large, data led organisation whose core purpose is helping businesses make better, more accurate decisions using advanced analytics. With deep, proprietary data assets and long standing partnerships across financial services and other regulated industries, analytics sits at the heart of everything they do. They have recently invested heavily in a specialist AI Lab to accelerate the use of AI and machine learning across products and client solutions. The culture is collaborative and stable, with strong retention and clear long term career paths.

The Role
You will be part of a specialist AI lab focused on enhancing existing offerings and developing new AI driven solutions. The role is hands on and research led, with exposure to a wide range of use cases.
Key responsibilities include:

  • Developing and enhancing AI and machine learning models, including scorecards and predictive models.
  • Applying techniques such as LLMs, transformers and chatbots to real world business problems.
  • Contributing to research and development for new products and innovative analytical approaches.
  • Working closely with stakeholders to translate business problems into effective AI solutions.
  • Supporting and guiding more junior team members where needed.

Your Skills and Experience

  • Strong commercial experience in credit risk modelling within a lender, fintech or similar data rich environment.
  • Proven capability in model development, particularly scorecards or predictive models.
  • Hands on experience applying AI or machine learning, such as LLMs, chatbots or advanced ML techniques.
  • Strong Python and SQL skills for data analysis and model development.
  • Ability to communicate complex analytical concepts clearly to non technical audiences.

What They Offer

  • Salary up to £90,000.
  • Hybrid working with three set days per week in the office.
  • Exposure to varied, high impact projects across multiple industries.
  • Clear progression within a growing AI and Analytics function.
  • A supportive culture where people tend to stay and build long term careers.

How to Apply
If you are looking for a role where you can apply AI to meaningful commercial problems and develop your career within a specialist data environment, apply now for immediate consideration.

To Apply for this Job Click Here

Senior Product Manager (FTC)

City of London

£90000 - £90000

+ Advanced Analytics & Marketing Insights

Permanent
City of London, London

To Apply for this Job Click Here

Senior Product Manager
London (Hybrid)
Up to 90k

Why this role stands out
Growth is the number one priority for the business, and this role sits at the heart of it. You will have real ownership over a mission critical product area, working in a fast paced, scale up environment where ideas move quickly from concept to live product.

The Company
We are a venture backed WealthTech business building a modern, conflict free approach to financial management. Our app brings together a holistic view of a client’s financial world, combining aggregated data with personalised, regulated advice delivered digitally. Having moved beyond early experimentation, we are now focused on scaling proven product experiences as we continue through a significant growth phase.

The Role
You will lead the core product squad responsible for designing engaging, personalised and conversion focused journeys that bring the web app to life and directly drive business growth.

  • Own the end to end customer journey from first interaction through to fully onboarded client.
  • Lead the core product squad responsible for client acquisition and onboarding across the web app.
  • Design engaging, intuitive and personalised journeys for clients with varying levels of wealth and complexity.
  • Shift the product experience from backward looking data to interactive, insight led journeys.
  • Work closely with design, engineering, marketing and advisory teams to deliver at pace.
  • Prioritise and manage multiple fast moving initiatives aligned to growth and commercial outcomes.

Your Skills and Experience

  • Strong product management experience within consumer technology or digital first environments.
  • Proven ability to design and deliver exceptional customer journeys from discovery through to launch.
  • Experience owning products end to end and operating comfortably in fast paced, scaling businesses.
  • A creative, user focused mindset with a strong understanding of what drives great customer experience.
  • Comfortable working with ambiguity and making data informed product decisions.

What We Offer

  • Competitive salary and benefits package.
  • A highly visible role with significant ownership and autonomy.
  • The opportunity to shape a core growth product within a well funded, scaling business.
  • Hybrid working and a collaborative, product led culture.

How to Apply
Apply now to learn more about this opportunity and discuss how your product experience could make a real impact.

To Apply for this Job Click Here

Product Manager

City of London

£70000 - £70000

+ Advanced Analytics & Marketing Insights

Permanent
City of London, London

To Apply for this Job Click Here

Product Manager (FTC)
London (Hybrid)
70k

This is a high impact opportunity to join a fast growing start-up at a pivotal stage of scale. With our product direction now clearly defined and strong investor backing, this role offers the chance to build automation that directly shapes how we operate as we grow.

The Company
We are a technology led wealth management business on a mission to disrupt the traditional advisory model. We provide conflict free, holistic financial advice without directly managing client assets, giving us the freedom to build products beyond conventional wealth management. Our app brings together clients’ full financial picture in one place, supported by regulated advisers delivering one to one advice via chat. Following recent funding, we are now scaling rapidly across the business.

The Role
This role is focused on automating and optimising internal business operations as the company scales.

  • Identify manual and repetitive processes across teams including operations, marketing, talent, business development and finance
  • Design and build scalable automations using no code and low code tools, alongside third party AI solutions where appropriate
  • Own problems end to end, from discovery through to delivery and measurement of impact
  • Focus on tangible outcomes such as time saved, efficiency gained and headcount avoidance
  • Act as an internal champion for automation, helping teams rethink how work gets done

Your Skills and Experience

  • Strong commercial experience automating operational processes in a fast paced tech environment
  • Hands on delivery using no code or low code platforms, workflow tools and rules based systems
  • A product mindset with the ability to prioritise high impact problems and design pragmatic solutions
  • Comfortable working without a traditional engineering team and building solutions independently
  • Able to clearly articulate previous automation projects, including technical approach and business impact

What We Offer

  • Competitive salary and benefits package
  • High autonomy and visibility within a growing product organisation
  • The opportunity to work closely with senior product leadership focused on AI and automation
  • Clear scope to shape how automation is embedded across the business as we scale

To Apply for this Job Click Here

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