data & AI
Diversity Report

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Manager of AI
Philadelphia
On-site
$235K + up to 12% bonus

The Company:

The business is growing rapidly and has made AI a core strategic priority, with significant investment already underway. This is a rare opportunity to build something genuinely new inside a well-resourced, technically sophisticated organisation.

The Role:

• Define and drive the company-wide AI strategy, identifying high-impact use cases across manufacturing, supply chain, sales, and customer service
• Build and lead a new Agentic AI team from the ground up, including hiring, onboarding, and establishing best practices
• Act as an AI evangelist across the business, partnering with senior leaders including the COO and CFO to embed AI into core processes
• Own the full lifecycle of AI projects from proof of concept through to production deployment and ongoing monitoring
• Develop and deliver a GenAI training programme to upskill colleagues across the organisation

The Profile:

• 5+ years of experience in AI, Data Science, or Machine Learning, with proven leadership responsibility
• Hands-on experience delivering AI or ML solutions at scale, ideally within a manufacturing, industrial, or engineering environment
• Familiarity with Agentic AI concepts and tools; experience with the Claude ecosystem is highly desirable
• Strong communication skills with the ability to translate complex technical ideas for non-technical executive stakeholders
• A genuine passion for AI and a track record of staying current with emerging technologies and industry developments

Unfortunately, this company is not able to offer visa sponsorship or relocation support at this time.

If you believe your profile matches what we’re looking for, simply apply and attach your most recent CV – I’ll be in touch if it’s a match.

We receive a high volume of interest across all our roles, so unfortunately we’re not able to give individual feedback to everyone. If you haven’t heard back within 15 days, your profile hasn’t been shortlisted on this occasion.

To Apply for this Job Click Here

To Apply for this Job Click Here

Manager Machine Learning
USA
Full Remote in the USA
Up to 230K base + bonus + equity

The Company:

This is a technology company operating in the e-commerce fraud prevention space. Using machine learning and AI, businesses in this sector help online retailers approve more legitimate transactions while taking on the financial risk of fraud themselves. It is a high-impact, data-driven environment where ML is core to the product – not a supporting function.

The Role:

• Lead and develop a team of 4-7 machine learning engineers, supporting career growth, running 1:1s, and building a psychologically safe, high-performance culture
• Own a portfolio of experiments end to end – from prioritising hypotheses and allocating resource through to evaluating results rigorously and shipping release candidates
• Balance near-term model improvement targets against longer-horizon research bets, re-cutting priorities as evidence comes in
• Partner directly with Risk stakeholders as your primary internal client, operating with a high degree of autonomy and defending your team’s direction with data
• Represent your team’s results to engineering leadership, Risk leaders, and the broader business

The Profile:

• 5+ years in machine learning, data science, or ML-adjacent engineering, with at least 2-3 years of direct people management experience
• Strong technical depth in applied ML and statistics – able to read evaluation pipelines, interrogate results, and distinguish signal from noise
• Player-Coach mentality: comfortable being in the weeds technically while also holding accountability for team delivery and quantitative KPIs
• Not a big-company process manager – you should be able to defend a roadmap, run rigorous experiments, and lead senior ICs, not just execute a ticket queue
• PhD or Master’s in Computer Science, Statistics, or a quantitative field strongly preferred; domain experience in payments or fraud is a bonus but not required

Unfortunately, this company is not able to offer visa sponsorship or relocation support at this time.

If you believe your profile matches what we’re looking for, simply apply and attach your most recent CV – I’ll be in touch if it’s a match.

We receive a high volume of interest across all our roles, so unfortunately we’re not able to give individual feedback to everyone. If you haven’t heard back within 15 days, your profile hasn’t been shortlisted on this occasion.

To Apply for this Job Click Here

To Apply for this Job Click Here

Machine Learning Engineering Manager
USA Remote $200,000 – $240,000 base + bonus + equity

A high-impact Machine Learning Engineering role focused on building and scaling production systems for real-time decisioning. You will manage a team of 4 and own end-to-end ML pipelines, working on models that directly drive commercial outcomes at scale, as well as contribute to ML research within the AI Lab.

The Company

They are a fast-growing technology business operating in the e-commerce and payments space, processing large volumes of real-time transactions. Machine learning sits at the core of their product, with strong investment in infrastructure and experimentation. Teams own services end to end, enabling engineers to drive meaningful technical impact.

The Role

* Build and deploy production-grade ML models for real-time systems
* Design scalable ML pipelines and infrastructure for high-throughput environments
* Develop offline experimentation and evaluation frameworks
* Improve model performance through statistical methods and feature engineering
* Work with distributed systems and large-scale data processing
* Partner with cross-functional teams to deliver ML solutions aligned to business needs
* Own the full lifecycle from experimentation to production and monitoring

Your Skills & Experience

* Strong commercial experience in Machine Learning Engineering
* Expertise in Python, SQL, and distributed frameworks such as Spark
* Deep understanding of model evaluation, experimentation, and statistics
* Experience building scalable ML systems from first principles
* Team leadership experience

What They Offer

* $200,000 – $240,000 base salary + bonus + equity
* Fully remote working in the US
* Unlimited paid time off and flexible working
* Comprehensive health and financial benefits, including 401k
* Learning budget and clear ownership of high-impact systems

How to Apply

Apply now to explore this Machine Learning Engineering opportunity.

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To Apply for this Job Click Here

AI Product Director

Location: Hybrid – San Francisco Bay Area, ~2-3 days/week onsite

About the Role

This is the senior AI leadership seat within Risk & Analytics, reporting directly to the VP of Risk Data Science and working alongside the Director of TPM, at a regulated, revenue-generating lending business undergoing a company-wide shift to AI-driven decisioning. The organization already has production-grade AI agents live in credit and underwriting, built on nearly two decades of proprietary credit data and is now extending that AI-first approach into Sales, Customer Lifecycle, Finance, and Capital Markets.

You’ll act as the senior thought partner to the VP of Risk Data Science, leading product design and roadmapping across multiple AI transformation initiatives. This is the priority hire on a growing AI team: you’ll manage two AI Product Managers, oversee 2-3 concurrent pods, and be accountable for selecting the right engineering partner for each initiative. This is a hands-on leadership role you’ll have been in the architecture room shaping AI solution design, not just managing delivery, and you’ll be expected to run several concurrent initiatives without dropping quality.

What You’ll Do

• Serve as senior thought partner on product design and roadmapping, working closely with executive sponsors
• Lead and mentor two AI Product Managers across multiple concurrent pods
• Oversee the full project cycle: SME discovery, 0→1 process reimagination, design brief authorship, and managed build/adoption
• Select and manage the right engineering partner for each initiative (internal product engineering plus external vendors)
• Ensure QC and evaluation frameworks are in place before any AI output reaches end users
• Track impact and productivity/outcome gains against pre-implementation baselines
• Maintain awareness of relevant regulatory considerations (e.g., FCRA/ECOA/Reg B) as AI is applied to lending workflows

What We’re Looking For

Required:

• 8-12 years of experience, with a proven track record taking AI products from concept to production
• Fintech background strongly preferred
• Practitioner-level AI fluency comfortable discussing agentic patterns, evals, and golden datasets
• Experience at a smaller, fast-moving fintech, payments, or tech company (large enterprise or big tech backgrounds are not a fit)
• A track record of reimagining a business process using AI 0→1 not simply layering AI onto an existing workflow
• Demonstrated experience authoring specs or design briefs that engineering partners built to
• Experience managing external engineering vendors against a defined scope
• Strong executive presence and stakeholder management a track record of building trust with SMEs, functional heads, and executives

Nice to Have:

• Direct experience with regulatory frameworks in consumer lending (FCRA/ECOA/Reg B)
• Prior people-management experience leading product managers

Compensation & Benefits

Base Salary: Up to $300,000

Additional:

• Relocation assistance considered for candidates who need it
• Hybrid work model, 2-3 days/week onsite

To Apply for this Job Click Here

To Apply for this Job Click Here

AI Product Manager

Location: Hybrid – San Francisco, CA, ~2-3 days/week onsite

About the Role

This role sits within Risk & Analytics, alongside the VP of Risk Data Science and the Director of TPM, supporting a company-wide shift to AI-driven decisioning in a regulated, revenue-generating lending business. The organization has already moved AI agents into production across credit and underwriting, built on nearly two decades of proprietary credit data – and is now extending that AI-first approach into Sales, Customer Lifecycle, Finance, and Capital Markets.

You’ll be embedded in a pod, partnered with a data scientist, and assigned to a single business area where you’ll own the 0→1 reimagination of a business process end-to-end from discovery through design, build management, QC, and adoption. This is a hands-on role, not a strategy-only seat: you’ll be expected to run discovery sessions yourself, author the design briefs an external engineering partner builds to and manage that partner day-to-day without ever letting them define scope.

What You’ll Do

• Lead SME discovery sessions to map how a process actually works today, baseline current metrics, and surface undocumented edge cases and workarounds
• Reimagine the process from the ground up (0→1) and author the design brief that an external engineering partner builds against
• Recommend the engineering partner and own the go/no-go decision
• Manage the partner day-to-day against the brief, ensuring they never redefine scope
• Design the QC framework alongside your pod’s data scientist before the build starts – no output reaches end users without QC review
• Run the shadow run, build the adoption plan with the relevant functional head, and track impact against baseline

What We’re Looking For

Required:

• 3-5 years in product management or a closely related role, with direct exposure to AI-enabled products – not just general software delivery
• Experience at a smaller, fast-moving fintech, payments, or tech company (large enterprise or big tech backgrounds are not a fit for this role)
• A track record of reimagining a business process using AI, done 0→1 – not simply adding AI to an existing workflow
• Demonstrated ability to author specs or design briefs that others have built to, and to structure an undefined problem without waiting for direction
• Enough AI fluency to hold a substantive conversation with an engineering partner and identify when a proposal doesn’t match design intent (engineering depth not required)
• Bachelor’s degree required

Nice to Have:

• Credit or lending domain experience (not required)
• Prior experience managing external engineering vendors
• Master’s degree (secondary to demonstrated delivery experience)

Strong candidates will be able to speak concretely to discovery work – specific edge cases or workarounds they uncovered that weren’t documented anywhere – and to how they measured whether AI output was good enough for production, including how they caught regressions.

Working Style:

This is a hands-on, high-autonomy role. You’ll operate with day-to-day independence inside your pod, be comfortable structuring ambiguous problems without waiting for direction, and build trust directly with SMEs and functional heads – adoption is something you earn during discovery, not something you chase after launch.

Compensation & Benefits

Base Salary: Up to $220,000

Additional:

• Relocation assistance considered for candidates who need it
• Hybrid work model, 2-3 days/week onsite

To Apply for this Job Click Here

To Apply for this Job Click Here

Software Engineer – Treasury

Up to £200,000

London (4-5 days a week in office)

If you are looking for a software engineering role that combines technical ownership, business impact, and exposure to front, middle, and operational functions within a sophisticated investment environment, this opportunity offers a rare chance to build and own critical systems that support a global financial organisation. You will work closely with business stakeholders, solve complex problems, and see the direct impact of your work across the organisation.

THE COMPANY

They are a globally operating investment firm with a strong engineering culture and a significant focus on technology, automation, and innovation. Technology teams are embedded within the business and play an essential role in driving operational efficiency and supporting key investment functions.

Their Enterprise Engineering team develops and maintains business critical platforms spanning treasury, fund accounting, compliance, and middle office operations. Engineers are trusted with genuine ownership and are encouraged to contribute ideas, challenge processes, and deliver meaningful improvements.

THE ROLE

As a Software Engineer you will join a high-performing engineering team building mission-critical software that powers core operations across a leading investment firm.

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

• Design, build, and maintain production software used across treasury, fund accounting, compliance, and middle office functions
• Take ownership of systems and applications from development through to deployment and ongoing enhancement
• Collaborate closely with business stakeholders to understand requirements and deliver practical solutions
• Work across a mix of modern Python services and established object-oriented codebases
• Contribute to architectural discussions and system design decisions
• Partner with teams across technology and operations to solve complex business challenges

SKILLS AND EXPERIENCE

The successful Software Engineer will have the following skills and experience:

• Strong commercial software engineering experience with Python in a production environment
• Experience with at least one object-oriented programming language such as Java, C#, or C++
• Strong SQL skills and experience working with relational databases
• Background within buy-side financial services, hedge funds, asset management, or prime brokerage environments
• Ability to communicate technical concepts clearly to both technical and non-technical stakeholders
• Knowledge of treasury, fund accounting, middle office, financing, stock loan, or related operational functions is highly desirable

BENEFITS

The successful Software Engineer will receive the following benefits:

• Salary up to £200,000 – depending on experience

HOW TO APPLY

Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

To Apply for this Job Click Here