Business Analyst-6 Years(Remote)

Requirement: Business Analyst (Market Risk Compliance / Trade and Voice Surveillance)

Exp Level: 5 – 10 yrs

Skills required :

* Experience in Capital Markets and strong Risk Domain & Financial product knowledge.

* Hands on experience on Derivatives products, product features on various asset classes, Risk sensitivity and Greeks

* Skilled in OTC products specially in SWAPS (XCCY , IRD) , FX , FX FWD , FX Swaps , derivatives (options – Plain vanilla or Exotic) etc which is inclined towards investment banking

* Ability to design, understand & document the requirements for controls and procedures to enhance surveillance function while controlling access to sensitive data aligned with trading, compliance & surveillance objectives

* Knowledge around Market abuse, Manipulations and Trade surveillance scenarios commonly used across industry

* Prior experience on Trade surveillance, Voice and Comm surveillance application is preferred

* Prototyping of proposed surveillance solutions to assess data quality and validate detection logic

* Strong familiarity with the relational databases and hands on experience with SQL queries

* Database knowledge with ability to write SQL queries including joins and use the data to validate use cases and requirement scenarios

* Prior experience in documenting artefacts likes functional specification, data mapping etc.

* Good understanding of business change and exposure to SDLC process and development methodologies (Agile and waterfall), Trade life cycle, Scrum ceremonies and collaboration tools like JIRA

* Hands on experience in Business analysis, reporting and mapping requirements across upstream / downstream systems for Front to Back changes

* Strong understanding of Determining Business scenarios, hands on experience on Gap analysis and BRD / FRD preparation and agile scrum workflow framework

* Global certification CFA, FRM, CQF and an appropriate Business Analyst certification, such as CPRE, CBAP and SAFe PO/PM is desirable

Quantitative Risk Models Lead

As Lead of the Derivatives risk models within the unit of Quantitative Risk Management at SIX, you will be a key member of our Financial Risk Management team, reporting directly to the Head of Quantitative Risk Management of SIX. Your primary responsibility is to oversee the Derivatives risk models functions, develop, calibrate, implement, document and review quantitative risk methodologies of SIX Clearing, enhancing the existing quantitative risk methodologies framework in compliance with the Regulation, and according to SIX Group risk policies, procedures and best practices in terms of risk management.

  • Minimum of five years’ experience in quantitative risk. Experience in a CCP will be considered positively
  • Strong quantitative background, having a MSc or PhD degree in a quantitative subject, preferably a degree in financial mathematics. CFA, FRM or CQF certifications is desirable
  • Solid experience with Databases programming skills (Python, SQL, Excel & VBS and Matlab)
  • Strong presentation as well as communication and persuasive skills, verbal and written, both in English and Spanish; being able to tailor information timely to the appropriate level of recipient
  • Ability to work independently to a high standard in set timeframes
  • Demonstrates strong problem solving skills, a high level of ownership and a proactivity mindset
  • Self-motivated, ability to build relationships internally and externally. Strong interperso

CFO Risk Analyst Consultant – ICH Europe

Although no two days at Accenture are the same, as a Risk Analyst/Consultant in our CFO&EV practice, a typical day might include:

  • Acting as a risk management analyst professional while working with Accenture’s global teams to help clients develop cutting edge and industry leading solutions
  • Shaping Accenture’s thought capital around current and emerging risk management topics
  • Using your analytical & quantitative skills to provide clarity to complex issues and gather data as well as model driven insights
  • Helping clients use technological risk innovations (Big Data & Cloud Solutions, Robotics, Artificial Intelligence, Machine Learning) to enhance and transform the risk management function
  • Working across a dynamic, international team where English is the common language

 

HERE’S WHAT YOU’LL NEED:

 

Minimum 2 years of risk management experience (Credit, Market, Liquidity, ERM or Financial Crime). Candidates should demonstrate knowledge in one or more of the following aspects:

  • Quantification skills in one or more of the risk domain areas
  • An understanding of market environment as well as risk regulatory frameworks: knowledge of Basel III and IV principles and practices, ICAAP, MIFID, FRTB, GDPR, IFRS 9, etc.
  • Experience across risk platforms and technologies/products, for example Bloomberg, Reuters, Murex, Algorithmics, Moody’s, eFront, OFSAA, etc.
  • Operational procedures and processes covering also data management in risk areas
  • Proficient level in English and either German, Spanish or French (written & spoken)

 

Research indicates that some candidates, especially the most diverse ones, may hesitate to apply for positions if they don’t meet all requirements. If you believe you possess the necessary skills, even if not meeting every requirement, we wholeheartedly encourage you to submit your application.

 

BONUS POINTS IF YOU ARE AND HAVE:

  • Digitally savvy and conscious of new technologies; continuous learner; knowledge of programming languages (R, SAS, VBA, SQL, PYTHON)
  • Industry certifications such as FRM, PRM, CQF, CFA.

Senior Manager, BCM Specialist Modelling, Financial Services, Audit Assurance

The BCM Specialist Modelling team within Deloitte’s Audit & Assurance practice is a rapidly evolving team providing specialist analytics services to banking and capital market clients. The quickly evolving team caters to a range of data solutions including modelling, model reviews, data assurance, profiling and visualisations.

From the outset, you will be a part of a market leading team, bringing together people and insights from a variety of sources and backgrounds. You will work alongside colleagues from multiple continents to deliver varied analytical solutions to clients ranging from tier-1 UK banks to FinTechs. No two days are the same, accelerating your learning and allowing you to progress more quickly.

Connect to your career at Deloitte     

Deloitte drives progress. Using our vast range of expertise, we help our clients’ become leaders wherever they choose to compete. To do this, we invest in outstanding people. We build teams of future thinkers, with diverse talents and backgrounds, and empower them all to reach for and achieve more.

What brings us all together at Deloitte? It’s how we approach the thousands of decisions we make every day. How we behave, our beliefs and our attitudes. In other words: our values. Whatever we do, wherever we are in the world, we lead the wayserve with integritytake care of each otherfoster inclusion, and collaborate for measurable impact. These five shared values lead every decision we make and action we take, guiding us to deliver impact how and where it matters most.

Connect to your opportunity

We are looking to expand our team by the hiring of focused, aspirational and collaborative practitioners, and as such we are offering the opportunity to join as a Senior Manager in the BCM Specialist Modelling team to support this challenging and rapidly expanding business. Deloitte offers a unique career opportunity in a supportive, challenging and fast-growth environment.

The successful candidate will have responsibility for delivery across a range of analytics and modelling offerings within banking and capital market audit and assurance services. You will understand our clients’ industry and be able to anticipate complex business problems and the issues they face, recommending appropriate action.

Responsibilities

  • Ownership of a portfolio of Audit and Assurance clients;
  • Provide direction/oversight to teams and taking responsibility for signing off the deliverables;
  • Liaise with senior stakeholders across the firm and at the client;
  • Integrate with the senior leadership of the team to help set and communicate the strategy to the rest of the team;
  • Overseeing the project management of engagements; managing senior team members, ownership of deliverables and timelines, leading client interaction and stakeholder management;
  • Managing teams within the group, including developing the skills and confidence of experienced staff and acting as a role model to inspire and mentor people in the team, and attract new talent to the team;
  • Leading teams in providing analytics and modelling services through the use of software such as SQL, Python, Tableau, SAS, R and VBA to deliver meaningful insights to our clients and help them to understand the risks and key drivers for their business;
  • Working with our clients to provide analytics and modelling services including model testing, data analysis and quality reviews, report generation and visualisation across both the trading and banking books;
  • Working with audit teams to integrate analytics more deeply into the external audit approach, and with our clients to embed analytics into their business and culture;
  • Development and delivery of new and innovative analytics tools to support evolving audit and regulatory requirements within the changing financial services environment;
  • Contributing to the team’s and Deloitte’s thought leadership and strategy in Audit & Assurance analytics and volunteering to promote certain initiatives;
  • Building and developing long term relationships with stakeholders across our client organisations.

Connect to your skills and professional experience

Essential:

  • PhD, Master’s or Bachelor’s degree or equivalent preferably in a quantitative field such as mathematics, physics, statistics, computer science, accounting, finance, or engineering;
  • Experience of working in an analytics or modelling team in the financial services industry either within a professional services or FTSE 350 firm;
  • Experience leading multiple teams in a dynamic environment to meet various reporting deadlines, managing multiple senior stakeholders;
  • An eye for detail, and a structured and thorough approach to delivering high quality output, including experience of code, output and documentation review;
  • Advanced technical experience with Excel and at least one other programming language such as Python, SQL, VBA, Tableau, R, SAS;
  • Sound knowledge of one or more financial asset classes (e.g. derivatives, loans, mortgages)
  • Experience in building cashflow models;
  • Ability to build and develop strong client relationships;
  • Excellent oral and written communication skills.

Desirable:

  • Holding or working towards a professional qualification (e.g. CQF, FRM, CFA, ACA, CIMA);
  • Strong understanding of the regulatory environment and an understanding of data quality frameworks such as BCBS239

Product Manager

Education:

  • Bachelors and Master’s degree in Engineering/Technology/Mathematics/Statistics/related disciplines from Tier 1 universities/institutes in India or abroad.
  • Relevant industry certifications such as CFA, CQF will be looked at favorably

Experience Core Skills:

  • 5 – 7 years of mixed experience in product management and hands on product development
  • Proven track record of launching and growing products
  • Should have worked in SaaS products using Python as a programming language
  • Experience with agile development methodologies.
  • Excellent Team player and demonstrate the ability to work in ambiguity and thrive in chaos.
  • Self motivated and driven with a heightened sense of ownership and accountability

Experience Soft Skills:

  • Proven ability to take initiative and work under pressure in a changing/growing environment.
  • A passion to keep oneself abreast of the latest technological advancements and suggest ways to improve ways of working.
  • Exceptional decision-making skills: Ability to prioritize across needs given limited resources
  • Thrives in a startup like environment: loves dealing with fast pace and changing needs
  • Ability to create relationships both inside and outside of the Product organization
  • Excellent story telling/articulation abilities along with the capacity to dive into minute details.
  • Superlative communication and consensus building skills.

Work Shift Timing – 2:00 PM – 11:00 PM IST

Front Office Risk Analyst

When you join EDF Trading, you’ll become part of a diverse international team of experts who challenge conventional ideas, test new approaches, and think outside the box.

Energy markets evolve rapidly, so our team needs to remain agile, flexible, and ready to spot opportunities across all the markets we trade in power, gas, LNG, LPG, oil, and environmental products.

EDF Group and our customers all over the world trust that their assets are managed by us in the most effective and efficient manner and are protected through expert risk management. Trading for over 20 years, it’s experience that makes us leaders in the field. Energy is what we do.

Become part of the team and you will be offered a great range of benefits, which include (location dependent) hybrid working, a personal pension plan, private medical and dental insurance, bi-annual health assessments, corporate gym memberships, an electric car lease programme, childcare vouchers, a cycle-to-work scheme, season ticket loans, volunteering opportunities, and much more.

Gender balance and inclusion are very high on the agenda at EDF Trading, so you will become part of an ever-diversifying family of around 750 colleagues based in London, Paris, Singapore, and Houston. Regular social and networking events, both physical and virtual, will ensure that you always feel connected to your colleagues and the business.

Who are we? We are EDF Trading, part of the EDF Group – a world leader in low-carbon, sustainable electricity generation.

Join us, make a difference, and help shape the future of energy.

 

Job Description:

Department

Front Office Risk Management is a trading floor-based risk management team that actively monitors the EDFT trading portfolio and global energy markets in real time in order to keep the Executive team and Head of Trading dynamically informed of key risk issues. The team also assists business development, origination and trading in developing proposals for new business activities.

Position Description

To become a key member of the Front Office Risk team by contributing rigorous risk analysis for presentation to the executive team, facilitated by forging strong relationships with trading desks underpinned by an in-depth understanding of global energy markets.

Main responsibilities

Key responsibilities include:

  • Interact daily with Trading desks and Fundamental analysis teams to facilitate independent analysis and challenge trading strategies
  • Understanding in detail the day to day drivers of price volatility and how this relates to the portfolios under your responsibility
  • Understand in detail on a daily basis the positional makeup of the portfolios under your responsibility
  • Understand in detail on a daily basis the key P&L drivers of the portfolios under your responsibility
  • When required produce weekly deep dives for management on specific trading positions to identify and analyse risk/reward
  • Produce well-written commentary for presentation at weekly meetings with the executive team
  • Liaise with other support functions to escalate and resolve market, operational and other risk issues as appropriate

Experience required

  • 2 – 5 years’ experience of working in a risk management, valuations or trading role within an investment bank or energy trading firm
  • A strong understanding of risk calculation methodologies for linear and non-linear instruments including: VaR, back-testing, portfolio stress testing, and sensitivity analysis
  • Experience interacting directly with traders
  • Detailed knowledge of some of the following energy commodities: Power, Gas, Oil, LNG, LPG & Coal

Technical requirements

  • Strong Excel, Python, VBA or other programming skills preferable, particularly ability to analyse complex data
  • Experience in building risk analytics tools in excel or other systems

Person specification

  • Excellent mathematical and analytical skills including a good knowledge of statistics
  • Minimum Bachelor’s degree in Finance, Economics, Mathematics, Engineering, or Science
  • Preference for MSc Finance, CQF, PRM, FRM or ERP holders
  • Knowledge of common commodity trading instruments including physical forwards, swaps, options, and other derivatives
  • In-depth understanding of option valuation methodologies, preferably including exotics
  • Excellent written and verbal communication skills to prepare and present material to senior executives as required
  • Strong interpersonal skills to build relationships with key stakeholders
  • Attention to detail and strong focus on accuracy of information
  • Team-work: ability to function in a dynamic small team and provide cover for other team members.

Hours of work: 40 hours per week, Monday to Friday

Finance Expert – Quant

Please see job role.

Quantitative Analyst – Derivatives Pricing and Market

Our client is looking for a Quantitative Analyst to join the Market Risk and Derivatives Pricing team within their London office with hybrid working. You would be leading a series of regulatory and risk modelling projects including Derivative Pricing, Market Risk and CVA. To be successful in the role you will have a strong quantitative academic and technical background, a creative approach to work and effective communication skills.

You will use your quantitative modelling skills on a range of projects:

  • Model validation and testing of derivative pricing models covering equity, rates, FX, commodities asset classes; working with Front Office quants to create testing plan
  • Model build and validation of VAR, stressed VAR and IRC
  • FRTB and IBOR modelling

Qualifications and Experience Required:

  • Strong quantitative academic background (such as Computational Finance, Mathematics, Engineering, Statistics, or Physics), a PhD or Masters preferred
  • Professional Qualification e.g. CQF / CFA / FRM / PRM is advantageous
  • Modelling background, including experience in model development and model validation of derivative products pricing, market risk and CVA models
  • Significant experience in the application and justification of statistical and numerical techniques and principles of the theory of probability
  • Strong experience in any of the following software development environments: Python/Java /C++ / SQL/R/.NET
  • Good understanding of Derivative Pricing, Market and CVA methodologies used for the trading, risk management and ideally calculation of regulatory capital requirements
  • Experience in FRTB or IBOR transition would be preferred
  • Confident and credible communicator with good technical knowledge and commercial understanding

Equity Quantitative Researcher

The Equity Quantitative Researcher position is based in Mumbai and is part of the Portfolio Analytics team. The role focuses on developing data-driven models and analytics that support systematic stock selection and portfolio decision-making. This includes data processing, analyzing large datasets, researching predictive factors, and building back-tested strategies that can be effectively deployed in trading. The ideal candidate possesses strong quantitative and programming skills, along with a deep curiosity about financial markets and a drive to continuously enhance investment performance.

Responsibilities

  • Research portfolio construction and optimization in the context of large complex equity portfolios.
  • Apply cutting edge computational techniques and statistical methods to solve complex problems.
  • Stay up to date on the latest academic and industry research and challenge yourself to continually improve and challenge the way things are done.
  • Design and develop highly automated cloud-based technology stack for investment and electronic trading algorithms.
  • Build next generation systems to run hundreds of simulations for model estimation and back-testing of mathematical algorithms.
  • Run simulations on portfolio enhancements and integrate enhancements in the live investment process.
  • Provide continuous suggestions for process improvement and performance optimization.

Qualifications

  • B.E., B.Tech., M.Tech., or M.Sc. in Computer Science, Computer Engineering, Statistics, or similar discipline
  • Strong knowledge and interest in statistical modeling techniques and data science
  • Must have exceptional coding and software design ability with technical proficiency in either Python, C++, Java or C#
  • Pursuing, CFA, FRM or CQF are beneficial.
  • Must be passionate about developing well-designed scalable software.
  • Good oral and written communication skills
  • Demonstrated ability to work independently with complete ownership of projects.
  • One to three years of relevant work experience

Manager – Market Risk (Quant)

Our client is looking for a Quantitative Analyst to join the Market Risk and Derivatives Pricing team within their London office with hybrid working. You would be leading a series of regulatory and risk modelling projects including Derivative Pricing, Market Risk and CVA. To be successful in the role you will have a strong quantitative academic and technical background, a creative approach to work and effective communication skills.

You will use your quantitative modelling skills on a range of projects;

  • Model validation and testing of derivative pricing models covering equity, rates, FX, commodities asset classes; working with Front Office quants to create testing plan
  • Model build and validation of VAR, stressed VAR and IRC
  • FRTB and IBOR modelling

Qualifications and Experience Required:

  • Strong quantitative academic background (such as Computational Finance, Mathematics, Engineering, Statistics, or Physics), a PhD or Masters preferred
  • Professional Qualification e.g. CQF / CFA/ FRM / PRM is advantageous
  • Modelling background, including experience in model development and model validation of derivative products pricing, market risk and CVA models
  • Significant experience in the application and justification of statistical and numerical techniques and principles of the theory of probability
  • Strong experience in any of the following software development environments: Python/Java /C++ / SQL/R/.NET
  • Good understanding of Derivative Pricing, Market and CVA methodologies used for the trading, risk management and ideally calculation of regulatory capital requirements
  • Experience in FRTB or IBOR transition would be preferred
  • Confident and credible communicator with good technical knowledge and commercial understanding