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BestEx Research

Offers multi-asset algorithmic trading execution

Program Manager - Trading Technology

Full-TimeUpdated on 10/17/2026
No salary listed
Senior
Bachelor's
Stamford, CT, USA
In PersonOn-site in Stamford during US hours, with occasional early-morning calls with India and the UK.
Project & Program ManagementProgram Management

About the job

Requirements
  • 5 to 7+ years of project or program management experience, with a track record of delivering technology projects in electronic trading, such as at a broker-dealer, trading firm, exchange, asset manager, or trading technology vendor.
  • Experience running programs across multiple teams and locations, including offshore engineering teams.
  • A working understanding of the order lifecycle and how trading systems fit together, including order management, execution algorithms, smart order routing, market data, and post-trade analytics.
  • Ability to hold detailed technical discussions with engineers and quants and translate them into plans and status updates for business stakeholders.
  • Proficiency with Jira and Confluence, including managing backlogs, boards, workflows, release tracking, and program documentation.
  • A bachelor's degree in computer science, engineering, finance, or a related field, or equivalent experience.
  • Willingness to work on site in Stamford, Connecticut, during US hours, with occasional early-morning calls with India and the UK.
Responsibilities
  • Own the delivery plan for the product and technology roadmap, working with the Chief Product Officer to set priorities, sequence work, and manage dependencies across teams.
  • Run cross-functional programs spanning product, quant research, engineering (algo, trading systems, and AMS), data, infrastructure, DevOps, and client-facing teams in the US, UK, and India.
  • Break each program into scoped, estimated workstreams with clear milestones, owners, and acceptance criteria.
  • Coordinate testing, certification, and production releases across engineering, QA, and operations teams.
  • Maintain a clear, current view of scope, timelines, resourcing, and risks across the portfolio, and escalate early when trade-offs are needed.
  • Track delivery against plan, remove blockers, and keep stakeholders informed.
  • Report program status to senior leadership in a concise, decision-ready form.
  • Run Agile ceremonies, including sprint planning, stand-ups, reviews, and retrospectives, and adapt the process to fit each team.
  • Own the team's use of Jira and Confluence, including backlogs, boards, release tracking, and program documentation.
  • Improve how work moves between product, engineering, and client teams, with a focus on predictable delivery and clear handoffs.
  • Work across time zones to keep teams in India, the UK, and the US aligned on priorities and deadlines.
  • Build strong working relationships with engineering leads and business stakeholders in each location.
Desired Qualifications
  • PMP (Project Management Professional) certification is strongly preferred.
  • Knowledge of the FIX protocol, including client and venue certifications.
  • Hands-on experience with execution algorithms or smart order routing for equities or futures.
  • Experience with Agile or Scrum; a Scrum Master certification is a plus.

About the company

B

BestEx Research

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Website

BestEx Research builds algorithmic trading software for buy-side firms to trade more efficiently and reduce transaction costs. It offers multi-asset trading algorithms that portfolio managers apply to measure performance and execute trades systematically, with feedback to improve results. The platform integrates with common EMS and OMS and can execute trades directly with brokers. By combining quantitative methods with founder Hitesh Mittal's industry experience, it aims to deliver transparent, high-performance execution tailored to client goals and workflows.

Company Size

51-200

Company Stage

Early VC

Total Funding

$16.5M

Headquarters

Stamford, Connecticut

Founded

2017

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Simplify Jobs

Simplify's Take

What believers are saying

  • June 2026 AMS One targets banks and brokers launching execution businesses fast.
  • September 2026 US equities model expands analytics from futures into a larger market.
  • April 2026 Curator and August 2026 Pulse AI deepen product breadth across workflows.

What critics are saying

  • BestEx raised only $10 million in 2023; scaling against Bloomberg remains capital-starved.
  • Small headcount limits sales coverage and implementation bandwidth across global banks and brokers.
  • If AMS One adoption stalls, BestEx stays a niche vendor behind incumbent execution stacks.

What makes BestEx Research unique

  • June 2026 AMS One bundles algorithms, EMS, TCA, and customization in one platform.
  • August 2026 Pulse AI exposes trading analytics through Claude and ChatGPT integrations.
  • September 2026 Pulse model uses one million parent orders and TAQ sensitivities.

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Benefits

  • Health Insurance
  • Performance Bonus
  • Company Equity
  • Paid Vacation
  • Remote Work Options

Growth & Insights and Company News

Headcount

6 month growth

-1%

1 year growth

0%

2 year growth

1%
PR Newswire
Sep 30th, 2026
BestEx Research launches predictive US equities cost model with speed and time-of-day factors

BestEx Research Group has launched the Pulse Market Impact Model for US equities, expanding its pre-trade analytics suite. The model provides symbol-level transaction cost estimates customised by order size, execution speed, duration, and time of day. The model distinguishes itself by capturing interactions among order size, execution speed, and time of day. It uses a hybrid approach combining over one million institutional parent orders with transaction cost sensitivities from TAQ data, tested on a full year of out-of-sample executions. The model is designed for trading strategy optimisation and portfolio construction, where inaccurate cost estimates can affect position sizing and net returns. It is available through clients' existing AI assistants, REST API, and AMS One point-and-click interface. Pulse Analytics currently covers US equities and global futures, with global equities cost estimation in development.

BestEx Research
Sep 30th, 2026
BestEx Research adds US Equities to pre-trade analytics suite with predictive transaction cost model accounting for speed and time of day.

BestEx Research adds US Equities to pre-trade analytics suite with predictive transaction cost model accounting for speed and time of day. September 30, 2026 The firm's transaction cost models are designed to support portfolio construction in addition to trading strategy optimization and performance evaluation, and are available through clients' existing AI assistants, REST API, and a point-and-click interface. STAMFORD, Conn., September 29, 2026 /PRNewswire/ - BestEx Research Group LLC, an independent provider of execution algorithms, trading technology, and trade analytics for global equities and futures, today announced the launch of the Pulse Market Impact Model for US Equities, extending the firm's pre-trade analytics suite. The model delivers symbol-level transaction cost estimates that can be customized by order size, execution speed, duration, and time of day. It is designed not just for post-trade TCA, but also for trading strategy optimization and portfolio construction. In these applications, inaccurate cost estimates can directly affect position sizing and net returns. What sets the firm's transaction cost model apart is its ability to capture the interaction among order size, execution speed, and time of day, and its out-of-sample performance across a wide range of trading conditions. Across a wide variety of order-size buckets, liquidity buckets, market conditions, and intraday periods, its predictions were within a fraction of a basis point of realized execution costs. Traditional transaction cost models typically account for order size and execution speed, but often do not adequately capture time of day. That matters because the same-size order can sometimes be traded faster at one point in the day and still incur lower costs than a more slowly executed order at another point in the day. Size and speed are also highly correlated in historical execution data, making their individual effects difficult to isolate.The model was built using a unique hybrid approach, combining more than one million institutional parent orders with transaction cost sensitivities estimated from TAQ data, and then tested on a full year of executions out of sample. The model's methodology and validation are described transparently in a white paper authored by Hitesh Mittal. "Portfolio managers and quantitative execution researchers need cost models that are robust enough to rely on for portfolio optimization and execution optimization," said Hitesh Mittal, Founder and CEO of BestEx Research. "That requires more than explaining historical trading costs; the model has to be predictive. If you can accurately estimate the cost of an order before it is traded, and understand how that cost changes with execution speed and time of day, you can use it to select better execution strategies. For portfolio managers, a dependable estimate of trading cost feeds directly into position sizing and portfolio construction. Overestimation of cost can cause attractive positions to be sized too small or rejected altogether, while underestimation can make a trade look more attractive than it really is." The model is accompanied by four years of historical trading analytics, including minute-by-minute bar data and predictive analytics such as volume, volatility, spread, and depth estimates. The model and its supporting analytics are available in three ways: conversationally through Pulse AI, which connects clients' existing AI assistants to the suite; directly through a REST API; and through AMS One, a point-and-click interface for end-to-end algorithmic trading and analytics. Institutional traders can explore the model and schedule a demo on the firm's website. The model's complete methodology and performance are documented in a research paper available to clients upon request. Pulse Analytics currently includes cost estimation for US equities and global futures, with global equities cost estimation in development. As the firm announced in August, its AI-ready broker-neutral post-trade transaction cost analysis capability is scheduled for release in early 2027. About BestEx Research BestEx Research Group LLC is a provider of sophisticated execution algorithms for equities and futures aimed at reducing trading costs for buy-side managers. The firm's cloud-based Algorithm Management System (AMS) combines their execution algorithms with a user-friendly dashboard, transaction cost analysis, customization, and automation in the industry's first multi-asset, independent algorithmic execution platform. BestEx Research also offers sell-side firms a seamless, customizable trading solution for their clients with no coding required. For more information on BestEx Research's mission and products, or to request a product demo, visit www.bestexresearch.com. Media Contact Mohit Shah [email protected]

PR Newswire
Aug 6th, 2026
BestEx Research launches Pulse AI, world's first AI-powered institutional trading analytics platform

BestEx Research Group LLC has launched Pulse AI, described as the world's first AI-native interface for institutional trading analytics. The platform integrates with AI assistants like Claude and ChatGPT, allowing traders to query BestEx Research's proprietary models and market data. Pulse AI provides pre-trade analysis including liquidity characteristics and cost estimation, alongside broker-neutral post-trade transaction cost analysis. Pre-trade analytics are currently live for global futures, with equities capabilities arriving in October. The post-trade TCA feature is scheduled for Q1 2027. The platform aims to eliminate manual data extraction and model building, enabling traders to conduct conversational analysis of execution quality and broker performance. It provides unified methodology across multiple brokers, addressing the challenge of comparing partial performance reports. BestEx Research is an independent provider of execution algorithms and trading technology for global equities and futures.

PR Newswire
Jun 11th, 2026
BestEx Research launches AMS One platform enabling banks to build algo trading businesses across global equities and futures

BestEx Research has launched AMS One, an end-to-end algorithmic trading platform enabling banks and brokers to build execution businesses across global equities and futures markets. The platform covers equities in the US, Canada, 15 European markets and four Asia-Pacific markets, plus futures contracts across 21 global exchanges. AMS One integrates four components: high-performance execution algorithms, customisation tools for building branded strategies, transaction cost analytics and consistent cross-market functionality. Its Strategy Studio offers over 150 configurable parameters controlling algorithm decisions, whilst smart order routing provides flexible venue selection and order management. The platform includes real-time monitoring for thousands of orders, automated algorithm assignment and integrated transaction cost analysis. Its predecessor, AMS, launched in 2019 and has executed trillions in notional value.

BestEx Research
Jun 11th, 2026
BestEx Research launches AMS One, enabling banks and brokers to build algorithmic execution businesses across global equities and futures markets in a single, end-to-end platform.

BestEx Research launches AMS One, enabling banks and brokers to build algorithmic execution businesses across global equities and futures markets in a single, end-to-end platform. June 11, 2026 STAMFORD, Conn., June 11, 2026 /PRNewswire/ - BestEx Research Group LLC, an independent provider of high-performance algorithmic execution and trading analytics, today announced the launch of AMS One, an end-to-end algorithmic trading platform that allows banks and brokers to build and run their own execution business across global equities and futures markets. AMS One provides a plug-and-play trading infrastructure that enables banks and brokers to compete with tier-one institutions, bringing together the four components necessary to run a competitive algorithmic execution enterprise. The platform includes high-performance execution algorithms, the tools required to build branded algorithms and tailor them to each client's objectives, a fully integrated transaction cost analytics module that supports execution consulting, and a consistent experience across global markets and all asset classes traded. AMS One spans equities in the US, Canada, Europe (15 markets), and APAC (4 markets), plus futures contracts across 21 global exchanges, so platform users can launch and grow their business from day one. "Our clients aren't looking to buy software. They're trying to build a business that wins and attracts more order flow," said Hitesh Mittal, Founder and CEO of BestEx Research. "Most vendors in this space are software companies that focus only on the technology side of electronic trading and leave market structure and product design unattended. The result is execution that doesn't match what a tier-one institution would deliver, and clients are left to maintain the infrastructure themselves. We built AMS One so banks and brokers get everything they need in one fully managed platform, without the eight-figure build." AMS One pairs global reach with depth in every module. Strategy Studio, a no-code customization tool, provides over 150 configurable parameters that govern every decision an algorithm makes, controlling how it schedules and places an order, manages urgency, adapts when ahead or behind schedule, and handles volume constraints and order completion. That gives desks granular control at every level of execution. The platform also delivers the industry's first fully flexible smart order routing infrastructure, with control over venue selection and prioritization, order types, pegging logic, resting duration, and refresh behavior, whether an order is passive, hidden, dark, or conditional. Strategies can be tailored to individual clients and assigned in a few clicks, or built from scratch with differentiated intellectual property and rolled out as custom, branded algorithms. "Our clients will be judged by the fills they provide, not the platform behind them, so we built AMS One to be the platform our sell-side clients would aspire to build themselves," said Nigam Saraiya, Chief Product Officer of BestEx Research. "It is grounded in algorithmic trading expertise, with market structure at its core, and supported by robust technology written in C++ and co-located globally, so our clients don't have to compromise on performance." The platform is built to support a large buy-side client base, with component modules that allow banks and brokers to exceed client expectations with the level of service they provide. Real-time monitoring tracks thousands of live orders at once, with configurable alerts and notifications, and lets a trader work alongside the algorithm to provide a high-touch experience to their clients. Built-in A/B testing supports comparison across strategies, and Meta Strategies automate algorithm assignment based on order characteristics as orders arrive, so each client's orders are handled according to their specific needs. Every order rolls into the platform's TCA module, designed by the same team that builds the algorithms, where execution quality is measured at the parent-order and fill levels and used to refine strategy. About BestEx Research BestEx Research Group LLC provides independent, research-driven execution algorithms, trading technology, and trade analytics for equities and futures that aim to reduce trading costs for institutional investors. For more information on BestEx Research's mission and products or request a demo, visit www.bestexresearch.com. Connect with BestEx Research on LinkedIn.